{
 "cells": [
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   "source": [
    "# _PyChOpMarg_ Testing & Debugging Notebook\n",
    "\n",
    "Original author: [David Banas](mailto:capn.freako@gmail.com)  \n",
    "Original date:   March 3, 2024\n",
    "\n",
    "Copyright &copy; 2024 David Banas; all rights reserved World wide.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d576b931-708f-45cf-90d0-96a438dedcd5",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This [Jupyter](https://jupyter.org) notebook was created to help test and debug a new Python package: [_PyChOpMarg_](), which implements the _Channel Operating Margin_ (COM) specification, as given by: [IEEE 802.3-22](https://ieeexplore.ieee.org/document/9844436) **Annex 93A**.\n",
    "\n",
    "The _PyChOpMarg_ package offers 3 different operating modes:\n",
    "\n",
    "1. Desktop GUI application,\n",
    "2. Command line utility, and\n",
    "3. Library for importing into higher-level scripts and/or notebooks like this one.\n",
    "\n",
    "This notebook serves double duty as an example of using _PyChOpMarg_ as a library.\n",
    "In particular, here I run a comparison of the _PyChOpMarg_ COM results to those given to me by Bob Sullivan of the [VITA](https://www.vita.com/VITA68) organization, for the purposes of testing and correlation."
   ]
  },
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   "id": "f2fc2278-f5f2-43ab-97ce-16db4a972b44",
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   "source": [
    "## Executive Summary\n",
    "\n",
    "As of **Saturday, March 23, 2024**:\n",
    "\n",
    "- I still don't have very good agreement w/ Bob's results, but I think I've identified the major sources of discrepancy.\n",
    "\n",
    "- My COM numbers are consistently higher than Bob's, despite our FOM numbers agreeing very well.  \n",
    "And this seems to be due to my calculated $A_{ni}$ numbers being too low.\n",
    "\n",
    "- The primary contributor to my low noise numbers seems to be crosstalk.\n",
    "And my low numbers here, relative to Bob's, appear to be caused by a deviation in the MATLAB code (v2.60) from the official specification (IEEE 802.3-22 Annex 93A).  \n",
    "(See _Appendix A_ for more detail.)\n"
   ]
  },
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   "cell_type": "markdown",
   "id": "8971b88b-57df-47b3-99d5-561bd0774bc0",
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   "source": [
    "## COM Parameters & Bob's Results\n",
    "\n",
    "Here, I define the COM parameters according to Bob's configuration and capture his results, for comparison later.\n",
    "The two sets of results correspond to package choices 1 and 2, respectively.\n",
    "\n",
    "**Note:** Bob's configuration is contained in the `config_com_ieee8023_93a=100GBASE-KR4.xls` file.\n",
    "\n",
    "**Note:** Bob is using the multiple s4p files option.  \n",
    "(So, if you're primarily interested in comparing my results to Bob's, skip ahead to _Example 2_.)"
   ]
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    "params = {  # IEEE-802.3by\n",
    "    # General\n",
    "    \"fb\": 25.78125,  # (GBaud)\n",
    "    \"fstep\": 10e6,   # (Hz)\n",
    "    \"L\": 2,\n",
    "    \"M\": 32,\n",
    "    \"DER_0\": 1e-5,\n",
    "    \"RLM\": 1.0,\n",
    "    \"A_v\":  0.4,  # victim\n",
    "    \"A_fe\": 0.4,  # far end aggressor\n",
    "    \"A_ne\": 0.6,  # near end aggressor\n",
    "    \"R_0\": 50,    # system reference impedance (Ohms)\n",
    "    # Noise\n",
    "    \"A_DD\": 0.05,  # (UI)\n",
    "    \"SNR_TX\": 27,  # (dB)\n",
    "    \"eta_0\": 5.20E-08,  # (V^2/GHz)\n",
    "    \"sigma_Rj\": 0.01,  # (UI)\n",
    "    # CTLE\n",
    "    \"f_z\":   6.4453125,  # (GHz)\n",
    "    \"f_p1\":  6.4453125,  # (GHz)\n",
    "    \"f_p2\": 25.78125,  # (GHz)\n",
    "    \"f_LF\": 0.001,  # (GHz)\n",
    "    \"g_DC\": [-n for n in range(13)], # (dB)\n",
    "    \"g_DC2\": [0], # (dB)\n",
    "    # Tx FFE\n",
    "    #          c(-1)  c(+1)\n",
    "    \"tx_taps_min\": [0, 0, -0.18, -0.38, 0, 0],\n",
    "    \"tx_taps_max\": [0, 0,  0.00,  0.00, 0, 0],\n",
    "    \"tx_taps_step\": [0, 0, 0.02,  0.02, 0, 0],\n",
    "    \"c0_min\": 0.62,\n",
    "    # Rx DFE\n",
    "    \"f_r\": 0.75,  # (fb)\n",
    "    \"dfe_min\": [-1.0]*14,\n",
    "    \"dfe_max\": [ 1.0]*14,\n",
    "    # Die & Package\n",
    "    \"R_d\": 55,     # (Ohms)\n",
    "    \"C_d\": [0.250],  # (pF)\n",
    "    \"C_b\": 0.001,  # (pF)\n",
    "    \"C_p\": 0.180,  # (pF)\n",
    "    \"L_s\": [0.000],  # (nH)\n",
    "    \"z_c\": [78.2],     # (Ohms)\n",
    "    \"z_p\": [12, 30],    # (mm)\n",
    "    \"gamma0\": 5.0e-4,           # (1/mm)\n",
    "    \"a1\":     8.9e-4,           # (sqrt_ns/mm)\n",
    "    \"a2\":     2.0e-4,            # (ns/mm)\n",
    "    \"tau\":    6.141e-3,          # (ns/mm)\n",
    "}\n",
    "\n",
    "bobs_rslts = [\n",
    "    {\n",
    "    'com': 4.3,          # (dB)\n",
    "    'fom': 16.9,         # (dB)\n",
    "    'As': 30.3,          # (mV)\n",
    "    'Ani': 18.5,         # (mV)\n",
    "    'vic_pulse_pk': 82.6,  # (mV)\n",
    "    'gDC': -12,          # (dB)\n",
    "    'tx_taps': [-0.16, 0],\n",
    "    'dfe_taps': [0.577, 0.034, 0.000, -0.070],\n",
    "    'sigma_ISI': 1.8, # (mV)\n",
    "    'sigma_XT': 3.3,  # (mV)\n",
    "    'sigma_G': 1.6,   # (mV)\n",
    "    'sigma_Tx': 1.4,  # (mV)\n",
    "    'sigma_J': 0.40,  # (mV)\n",
    "    'sigma_N': 0.71,  # (mV)\n",
    "    },\n",
    "    {\n",
    "    'com': 3.65,         # (dB)\n",
    "    'fom': 16.25,        # (dB)\n",
    "    'As': 25,            # (mV)\n",
    "    'Ani': 16.46,         # (mV)\n",
    "    'vic_pulse_pk': 72,  # (mV)\n",
    "    'gDC': -12,          # (dB)\n",
    "    'tx_taps': [-0.16, 0],\n",
    "    'dfe_taps': [0.684, 0.106, 0.014, 0.010],\n",
    "    'sigma_ISI': 1.9, # (mV)\n",
    "    'sigma_XT': 2.8,  # (mV)\n",
    "    'sigma_G': 1.4,   # (mV)\n",
    "    'sigma_Tx': 1.1,  # (mV)\n",
    "    'sigma_J': 0.33,  # (mV)\n",
    "    'sigma_N': 0.71,  # (mV)\n",
    "    },\n",
    "]"
   ]
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   "source": [
    "## Utility Functions\n",
    "\n",
    "These functions provide general utility for the rest of this notebook."
   ]
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    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from IPython.core.magic import register_cell_magic\n",
    "\n",
    "from matplotlib         import pyplot as plt\n",
    "from scipy.interpolate  import interp1d\n",
    "\n",
    "from pychopmarg.com     import COM\n",
    "from pychopmarg.utility import calc_Hffe\n",
    "\n",
    "\n",
    "@register_cell_magic\n",
    "def skip(line, cell):\n",
    "    return\n",
    "\n",
    "\n",
    "def print_results(theCOM: COM, zp_sel: int) -> None:\n",
    "    \"\"\"\n",
    "    Print the results of a called `COM` instance,\n",
    "    comparing to Bob's own results for the given case.\n",
    "\n",
    "    Args:\n",
    "        theCOM: The `COM` instance of interest; must've been previously called!\n",
    "        zp_sel: The package case to use.\n",
    "\n",
    "    Returns:\n",
    "        None\n",
    "    \"\"\"\n",
    "    \n",
    "    print(\"Metric\\t\\tBob's Value\\tMy Value\\tError\")\n",
    "    print(\"=\" * 53)\n",
    "    for key in bobs_rslts[zp_sel-1].keys():\n",
    "        print(f\"{key}:\\t\", end=\"\")\n",
    "        if len(key) < 7:\n",
    "            print(\"\\t\", end=\"\")\n",
    "        bobs = bobs_rslts[zp_sel-1][key]\n",
    "        mine = theCOM.rslts[key]\n",
    "        if key.endswith(\"taps\"):\n",
    "            print(\"\")\n",
    "            for n, (bob, me) in enumerate(zip(bobs, mine)):\n",
    "                if bob:\n",
    "                    err = (me - bob)/bob\n",
    "                else:\n",
    "                    err = 1\n",
    "                print(f\"\\t{n+1}:\\t\", end=\"\")\n",
    "                print(f\"{bob:11.2f}\\t{me:8.2f}\\t{err*100:4.0f}%\")\n",
    "        else:\n",
    "            err = (mine - bobs)/bobs\n",
    "            print(f\"{bobs:11.2f}\\t{mine:8.2f}\\t{err*100:4.0f}%\")\n",
    "\n",
    "def plot_cdf(theCOM: COM) -> None:\n",
    "    \"\"\"\n",
    "    Plot the combined noise-xtalk-interference CDF of a called `COM` instance,\n",
    "    showing where it crosses the DER threshold.\n",
    "\n",
    "    Args:\n",
    "        theCOM: The `COM` instance of interest; must've been previously called!\n",
    "    \"\"\"\n",
    "    \n",
    "    y = theCOM.rslts['y']\n",
    "    Py = theCOM.rslts['Py']\n",
    "    Ani = y[np.where(Py > theCOM.DER0)[0][0]]\n",
    "    plt.plot(y*1e3, Py)\n",
    "    plt.axvline(Ani*1e3, color='black', linestyle='dashed')\n",
    "    plt.title(\"Noise & Interference CDF Showing DER Threshold Crossing\")\n",
    "    plt.xlabel(\"Value (mV)\")\n",
    "    plt.grid()\n",
    "    plt.show()\n",
    "\n",
    "def plot_pulse_resps(theCOM: COM) -> None:\n",
    "    \"\"\"\n",
    "    Plot the victim pulse response, in its 3 stages of evolution:\n",
    "    \n",
    "    1. before adding the packaging,\n",
    "    2. after adding packaging, but before adding EQ, and\n",
    "    3. after adding EQ.\n",
    "\n",
    "    Args:\n",
    "        theCOM: A COM instance, which has been previously called,\n",
    "            in order to generate the required preliminaries.\n",
    "    \"\"\"\n",
    "    \n",
    "    gDC = theCOM.rslts['gDC']\n",
    "    gDC2 = theCOM.rslts['gDC2']\n",
    "    tx_taps = np.array(theCOM.tx_taps).flatten()\n",
    "    cursor_ix = theCOM.com_cursor_ix\n",
    "    \n",
    "    print(\"Using these optimizer selected linear EQ values:\")\n",
    "    print(f\"\\tgDC:\\t\\t{gDC:3.0f} dB\")\n",
    "    print(f\"\\tgDC2:\\t\\t{gDC2:3.0f} dB\")\n",
    "    print(\"\\tTx tap weights:\", end=\"\")\n",
    "    for w in tx_taps:\n",
    "        print(f\" {w:6.3f}\", end=\"\")\n",
    "    print(\"\")\n",
    "    print(\"\")\n",
    "\n",
    "    # Plot the equalized victim pulse response.\n",
    "    theCOM.gDC = gDC\n",
    "    theCOM.gDC2 = gDC2\n",
    "    pulse_resps = theCOM.gen_pulse_resps(tx_taps=np.array(tx_taps))\n",
    "    x = pulse_resps[0]  # victim\n",
    "    t = theCOM.times\n",
    "    dfe_end = t[cursor_ix] + theCOM.nDFE/theCOM.params['fb']/1e9\n",
    "    plt.plot(t*1e9, x[:len(t)]*1e3, label=\"Equalized\")\n",
    "    plt.axvline(t[cursor_ix]*1e9, color='black', linestyle='dashed')\n",
    "    plt.axvline(dfe_end*1e9, color='black', linestyle='dashed')\n",
    "    \n",
    "    # Plot the pre-package and unequalized victim pulse responses.\n",
    "    plt.plot(t*1e9, theCOM.pulse_resps_nopkg[0][:len(t)]*1e3, label=\"NoPkg\")\n",
    "    plt.plot(t*1e9, theCOM.pulse_resps_noeq[0][:len(t)]*1e3, label=\"NoEQ\")\n",
    "    \n",
    "    plt.title(\"Victim Pulse Responses Showing Cursor Location & DFE Range\")\n",
    "    plt.xlabel(\"Time (ns)\")\n",
    "    plt.ylabel(\"p(t) (mV)\")\n",
    "    plt.axis(xmin=0, xmax=2)  # Set after viewing the unconstrained plot.\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "def plot_freq_resps(theCOM: COM, zp_sel: int) -> None:\n",
    "    \"\"\"\n",
    "    Plot the frequency responses of the various system components.\n",
    "\n",
    "    Args:\n",
    "        theCOM: A COM instance, which has been previously called,\n",
    "            in order to generate the required preliminaries.\n",
    "        zp_sel: The package option selector.\n",
    "    \"\"\"\n",
    "    \n",
    "    f = theCOM.freqs\n",
    "    tx_taps = np.array(theCOM.tx_taps).flatten()\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(theCOM.H(theCOM.chnls[0][0], np.array(tx_taps)))), label=\"Hvic\")\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(calc_Hffe(f, 1 / theCOM.fb, list(tx_taps), theCOM.tx_n_post))), label=\"Hffe\")\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(theCOM.H21(theCOM.chnls[0][0]))), label=\"H21vic\")\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(theCOM.Hr)), label=\"Hr\")\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(theCOM.Hctf)), label=\"Hctf\")\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(theCOM.Xsinc)), label=\"Xsinc\")\n",
    "    plt.semilogx(f/1e9, 20*np.log10(np.abs(theCOM.H21(theCOM.sPkgTx))), label=\"Hpkg\")\n",
    "    plt.title(\"System Frequency Responses w/ Optimum EQ\")\n",
    "    plt.xlabel(\"Frequency (GHz)\")\n",
    "    plt.axis(ymin=-40)\n",
    "    plt.grid()\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "def import_csv(fname: str) -> tuple[np.typing.NDArray[float], np.typing.NDArray[float]]:\n",
    "    \"\"\"\n",
    "    Import a comma separated value (CSV) file, assuming time in the first column.\n",
    "\n",
    "    Args:\n",
    "        fname: The name of the file to import.\n",
    "\n",
    "    Returns:\n",
    "        (time, [vals]): A pair consisting of:\n",
    "            - The time values indexing each row of the data.\n",
    "            - A list of value arrays, each indexed by `time`.\n",
    "\n",
    "    Raises:\n",
    "        RuntimeError: If the shape of the data array is irregular.\n",
    "    \"\"\"\n",
    "\n",
    "    labels = None\n",
    "    time = []\n",
    "    with open(fname, 'rt') as f:\n",
    "        for n, line in enumerate(f):\n",
    "            toks = line.split(', ')\n",
    "            if n == 0:\n",
    "                nVals = len(toks) - 1\n",
    "                vals = [[]] * nVals\n",
    "            if n == 0 and toks[0] is str:\n",
    "                labels = list(map(str, toks))\n",
    "            else:\n",
    "                nToks = len(toks)\n",
    "                assert nToks == nVals+1, f\"Line {n+1} has the wrong number of tokens (Expecting: {nVals}; got: {nToks})!\"\n",
    "                time.append(float(toks[0]))\n",
    "                for n in range(nVals):\n",
    "                    vals[n].append(float(toks[n+1]))\n",
    "    return (np.array(time), list(map(np.array, vals)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "121ce70f-57d8-401d-808b-9d1f201e2d53",
   "metadata": {},
   "source": [
    "## Example 1 - s32p Channel File, as per VITA 68.2\n",
    "\n",
    "This example shows how to use the _PyChOpMarg_ package as a library, for measuring the COM of a 32-port [_Touchstone_ file](https://en.wikipedia.org/wiki/Touchstone_file) organized as specified by the [VITA](https://www.vita.com/VITA68) 68.2 standard.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26660973-bfbd-4a50-a682-37d5ebb7860f",
   "metadata": {},
   "source": [
    "### Package Case 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3889c7ff-190d-4ee0-8157-31e861c44076",
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "%%skip\n",
    "theCOM_s32p_pkg1 = COM.init(params, [\"chnl_data/example1.s32p\"], 3, zp_sel=1, num_ui=500, gui=False)\n",
    "com = theCOM_s32p_pkg1()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "128aedcf-8e2d-4f84-ab8d-d6bdfde4d2c0",
   "metadata": {},
   "source": [
    "#### Tabulated Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eafffe09-9eb0-47d6-9d4d-f8a40fe2c2a3",
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "%%skip\n",
    "print_results(theCOM_s32p_pkg1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0cddb60c-6448-49b0-8134-ccdf9eee32ba",
   "metadata": {},
   "source": [
    "#### NIC CDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "08552c31-76f1-4265-bfbf-4c2bc7b0b311",
   "metadata": {
    "execution": {
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     "shell.execute_reply.started": "2024-10-26T11:45:36.052708Z"
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   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "plot_cdf(theCOM_s32p_pkg1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e158b028-9ec0-4d23-a0b2-c6032d1f523e",
   "metadata": {},
   "source": [
    "#### Pulse Responses"
   ]
  },
  {
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   "execution_count": 6,
   "id": "d8b84cfd-cc33-4002-a4a3-2675b1882d84",
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     "shell.execute_reply": "2024-10-26T11:45:36.070862Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.063998Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "plot_pulse_resps(theCOM_s32p_pkg1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3d6d60c-45c3-4d98-9252-b5e7415f9aef",
   "metadata": {},
   "source": [
    "#### Frequency Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dd3f9bc5-13d3-442e-906a-8c69279bbfe0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.071974Z",
     "iopub.status.busy": "2024-10-26T11:45:36.071749Z",
     "iopub.status.idle": "2024-10-26T11:45:36.081048Z",
     "shell.execute_reply": "2024-10-26T11:45:36.080246Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.071958Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "plot_freq_resps(theCOM_s32p_pkg1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1030df40-46ec-4e65-a9f7-e816c6092a8b",
   "metadata": {},
   "source": [
    "### Package Case 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "71743461-5b2a-4ad8-aaa5-bdd71517a6ce",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.081867Z",
     "iopub.status.busy": "2024-10-26T11:45:36.081646Z",
     "iopub.status.idle": "2024-10-26T11:45:36.090980Z",
     "shell.execute_reply": "2024-10-26T11:45:36.090101Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.081852Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "theCOM_s32p_pkg2 = COM.init(params, [\"chnl_data/example1.s32p\"], 3, zp_sel=2, num_ui=500, gui=False)\n",
    "com = theCOM_s32p_pkg2()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3799741-7617-4ce1-aee4-79928d43e37c",
   "metadata": {},
   "source": [
    "#### Tabulated Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e8f3bf59-9587-4566-9042-63864367d7e7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.092091Z",
     "iopub.status.busy": "2024-10-26T11:45:36.091777Z",
     "iopub.status.idle": "2024-10-26T11:45:36.101781Z",
     "shell.execute_reply": "2024-10-26T11:45:36.100453Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.092067Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "print_results(theCOM_s32p_pkg2, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3c29936-37d1-40c0-b339-1cf522ef85b9",
   "metadata": {},
   "source": [
    "#### NIC CDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "681a4f56-5858-464b-8392-c0b1137bfb22",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.103034Z",
     "iopub.status.busy": "2024-10-26T11:45:36.102736Z",
     "iopub.status.idle": "2024-10-26T11:45:36.110860Z",
     "shell.execute_reply": "2024-10-26T11:45:36.109559Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.103012Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "plot_cdf(theCOM_s32p_pkg2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6d77828-302d-49ea-9af9-697af867148f",
   "metadata": {},
   "source": [
    "#### Pulse Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ee33d467-79de-4c05-ac30-a50a551ec52e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.112485Z",
     "iopub.status.busy": "2024-10-26T11:45:36.111879Z",
     "iopub.status.idle": "2024-10-26T11:45:36.120496Z",
     "shell.execute_reply": "2024-10-26T11:45:36.120107Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.112443Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "plot_pulse_resps(theCOM_s32p_pkg2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76003f4c-d9ce-416d-8f10-64cd5a7d0627",
   "metadata": {},
   "source": [
    "#### Frequency Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8ba98fc8-0bd7-4e7f-a4e6-d9618c4ea8bc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.121349Z",
     "iopub.status.busy": "2024-10-26T11:45:36.121008Z",
     "iopub.status.idle": "2024-10-26T11:45:36.130148Z",
     "shell.execute_reply": "2024-10-26T11:45:36.129351Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.121328Z"
    }
   },
   "outputs": [],
   "source": [
    "%%skip\n",
    "plot_freq_resps(theCOM_s32p_pkg2, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0103e2c-0758-45de-97dc-c9f4dfbbeb94",
   "metadata": {},
   "source": [
    "## Example 2 - 6 x s4p Channel Files, as per VITA 68.2\n",
    "\n",
    "Here, we're testing the same channel as above in _Example_1_, but using 6 s4p files, instead of a single s32p file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "af8c136f-4c3e-4f13-9f37-a021fd808e59",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.131073Z",
     "iopub.status.busy": "2024-10-26T11:45:36.130882Z",
     "iopub.status.idle": "2024-10-26T11:45:36.139213Z",
     "shell.execute_reply": "2024-10-26T11:45:36.138611Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.131058Z"
    }
   },
   "outputs": [],
   "source": [
    "chnl_files = [\n",
    "    \"chnl_data/example2_THRU.s4p\",\n",
    "    \"chnl_data/example2_FEXT1.s4p\",\n",
    "    \"chnl_data/example2_FEXT2.s4p\",\n",
    "    \"chnl_data/example2_NEXT1.s4p\",\n",
    "    \"chnl_data/example2_NEXT2.s4p\",\n",
    "    \"chnl_data/example2_NEXT3.s4p\",\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ed8fa15-f62e-4f63-8555-20324a7091ec",
   "metadata": {},
   "source": [
    "### Package Case 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "99b659f7-fd34-4371-bb50-e605788b70b1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:45:36.140081Z",
     "iopub.status.busy": "2024-10-26T11:45:36.139674Z",
     "iopub.status.idle": "2024-10-26T11:47:25.553797Z",
     "shell.execute_reply": "2024-10-26T11:47:25.552841Z",
     "shell.execute_reply.started": "2024-10-26T11:45:36.140062Z"
    }
   },
   "outputs": [],
   "source": [
    "theCOM_6xs4p_pkg1 = COM.init(params, chnl_files, 3, zp_sel=1, num_ui=500, gui=False)\n",
    "com = theCOM_6xs4p_pkg1()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "586a428f-39d4-4b13-84f9-f600ca0d3fdf",
   "metadata": {},
   "source": [
    "#### Tabulated Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "989f3c9d-eddc-4419-89cf-df8f30cba79b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:47:25.554670Z",
     "iopub.status.busy": "2024-10-26T11:47:25.554469Z",
     "iopub.status.idle": "2024-10-26T11:47:25.559798Z",
     "shell.execute_reply": "2024-10-26T11:47:25.558616Z",
     "shell.execute_reply.started": "2024-10-26T11:47:25.554653Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metric\t\tBob's Value\tMy Value\tError\n",
      "=====================================================\n",
      "com:\t\t       4.30\t    0.00\t-100%\n",
      "fom:\t\t      16.90\t   49.44\t 193%\n",
      "As:\t\t      30.30\t   52.93\t  75%\n",
      "Ani:\t\t      18.50\t   52.93\t 186%\n",
      "vic_pulse_pk:\t      82.60\t   68.81\t -17%\n",
      "gDC:\t\t     -12.00\t  -12.00\t  -0%\n",
      "tx_taps:\t\n",
      "\t1:\t      -0.16\t   -0.12\t -25%\n",
      "\t2:\t       0.00\t   -0.26\t 100%\n",
      "dfe_taps:\t\n",
      "\t1:\t       0.58\t    0.06\t -90%\n",
      "\t2:\t       0.03\t   -0.24\t-795%\n",
      "\t3:\t       0.00\t   -0.11\t 100%\n",
      "\t4:\t      -0.07\t    0.04\t-158%\n",
      "sigma_ISI:\t       1.80\t    1.09\t -39%\n",
      "sigma_XT:\t       3.30\t    2.78\t -16%\n",
      "sigma_G:\t       1.60\t   44.67\t2692%\n",
      "sigma_Tx:\t       1.40\t   44.67\t3091%\n",
      "sigma_J:\t       0.40\t    1.03\t 157%\n",
      "sigma_N:\t       0.71\t    0.00\t-100%\n"
     ]
    }
   ],
   "source": [
    "print_results(theCOM_6xs4p_pkg1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd05a100-c35e-4407-bf1d-7854017149ff",
   "metadata": {},
   "source": [
    "#### NIC CDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "10038643-df4d-4f3c-b00e-8716dcb15ced",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:47:25.561491Z",
     "iopub.status.busy": "2024-10-26T11:47:25.560900Z",
     "iopub.status.idle": "2024-10-26T11:47:25.687186Z",
     "shell.execute_reply": "2024-10-26T11:47:25.686130Z",
     "shell.execute_reply.started": "2024-10-26T11:47:25.561459Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_cdf(theCOM_6xs4p_pkg1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4655290-584f-4f05-a537-c207a57bc546",
   "metadata": {},
   "source": [
    "#### Pulse Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a593b2d4-f8b9-456f-84fe-8325ff1a76cc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:47:25.688710Z",
     "iopub.status.busy": "2024-10-26T11:47:25.688234Z",
     "iopub.status.idle": "2024-10-26T11:47:25.870482Z",
     "shell.execute_reply": "2024-10-26T11:47:25.869418Z",
     "shell.execute_reply.started": "2024-10-26T11:47:25.688683Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using these optimizer selected linear EQ values:\n",
      "\tgDC:\t\t-12 dB\n",
      "\tgDC2:\t\t  0 dB\n",
      "\tTx tap weights:  0.000  0.000 -0.120 -0.260  0.000  0.000\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_pulse_resps(theCOM_6xs4p_pkg1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "640b1fcc-abdb-41ef-b407-beba63a8032d",
   "metadata": {},
   "source": [
    "#### Frequency Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "106586ee-121b-48fb-80a5-9f00074943c2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:47:25.871329Z",
     "iopub.status.busy": "2024-10-26T11:47:25.871070Z",
     "iopub.status.idle": "2024-10-26T11:47:26.333664Z",
     "shell.execute_reply": "2024-10-26T11:47:26.332846Z",
     "shell.execute_reply.started": "2024-10-26T11:47:25.871313Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_freq_resps(theCOM_6xs4p_pkg1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be91df21-104e-46d8-8d7b-4f0ae685c8d1",
   "metadata": {},
   "source": [
    "### Package Case 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ebeb80ec-da7b-4ac4-b7b7-a460d67ecc8b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:47:26.334905Z",
     "iopub.status.busy": "2024-10-26T11:47:26.334591Z",
     "iopub.status.idle": "2024-10-26T11:49:19.149473Z",
     "shell.execute_reply": "2024-10-26T11:49:19.148668Z",
     "shell.execute_reply.started": "2024-10-26T11:47:26.334881Z"
    }
   },
   "outputs": [],
   "source": [
    "theCOM_6xs4p_pkg2 = COM.init(params, chnl_files, 3, zp_sel=2, num_ui=500, gui=False)\n",
    "com = theCOM_6xs4p_pkg2()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "097ab8ac-dce9-43b7-9b1a-e7c9173db4d8",
   "metadata": {},
   "source": [
    "#### Tabulated Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c6dd4585-4d7c-4522-892b-b0ffcb2ff0fc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:19.151113Z",
     "iopub.status.busy": "2024-10-26T11:49:19.150219Z",
     "iopub.status.idle": "2024-10-26T11:49:19.156887Z",
     "shell.execute_reply": "2024-10-26T11:49:19.155826Z",
     "shell.execute_reply.started": "2024-10-26T11:49:19.151091Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metric\t\tBob's Value\tMy Value\tError\n",
      "=====================================================\n",
      "com:\t\t       3.65\t    0.00\t-100%\n",
      "fom:\t\t      16.25\t   50.09\t 208%\n",
      "As:\t\t      25.00\t   43.32\t  73%\n",
      "Ani:\t\t      16.46\t   43.32\t 163%\n",
      "vic_pulse_pk:\t      72.00\t   61.38\t -15%\n",
      "gDC:\t\t     -12.00\t  -12.00\t  -0%\n",
      "tx_taps:\t\n",
      "\t1:\t      -0.16\t   -0.06\t -62%\n",
      "\t2:\t       0.00\t   -0.32\t 100%\n",
      "dfe_taps:\t\n",
      "\t1:\t       0.68\t    0.26\t -63%\n",
      "\t2:\t       0.11\t   -0.36\t-436%\n",
      "\t3:\t       0.01\t   -0.10\t-821%\n",
      "\t4:\t       0.01\t    0.01\t  -8%\n",
      "sigma_ISI:\t       1.90\t    1.09\t -43%\n",
      "sigma_XT:\t       2.80\t    2.45\t -12%\n",
      "sigma_G:\t       1.40\t   44.67\t3091%\n",
      "sigma_Tx:\t       1.10\t   44.67\t3961%\n",
      "sigma_J:\t       0.33\t    1.18\t 257%\n",
      "sigma_N:\t       0.71\t    0.00\t-100%\n"
     ]
    }
   ],
   "source": [
    "print_results(theCOM_6xs4p_pkg2, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06c51764-1908-403c-926e-5a16cddbf729",
   "metadata": {},
   "source": [
    "#### NIC CDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "46e45caf-4aa1-45df-bf18-09613cfeb134",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:19.161799Z",
     "iopub.status.busy": "2024-10-26T11:49:19.161195Z",
     "iopub.status.idle": "2024-10-26T11:49:19.272519Z",
     "shell.execute_reply": "2024-10-26T11:49:19.271501Z",
     "shell.execute_reply.started": "2024-10-26T11:49:19.161772Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_cdf(theCOM_6xs4p_pkg2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d01d5f63-10e2-4680-9f1e-e36a11adc826",
   "metadata": {},
   "source": [
    "#### Pulse Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e6dda4e0-e801-497f-9061-0a9f0bf2ae76",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:19.273347Z",
     "iopub.status.busy": "2024-10-26T11:49:19.273167Z",
     "iopub.status.idle": "2024-10-26T11:49:19.452880Z",
     "shell.execute_reply": "2024-10-26T11:49:19.452036Z",
     "shell.execute_reply.started": "2024-10-26T11:49:19.273328Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using these optimizer selected linear EQ values:\n",
      "\tgDC:\t\t-12 dB\n",
      "\tgDC2:\t\t  0 dB\n",
      "\tTx tap weights:  0.000  0.000 -0.060 -0.320  0.000  0.000\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_pulse_resps(theCOM_6xs4p_pkg2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d999455-ce28-48f2-b287-5aad11845953",
   "metadata": {},
   "source": [
    "#### Frequency Responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ce00127d-3ea8-4042-832d-147ad621063c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:19.453660Z",
     "iopub.status.busy": "2024-10-26T11:49:19.453459Z",
     "iopub.status.idle": "2024-10-26T11:49:19.820420Z",
     "shell.execute_reply": "2024-10-26T11:49:19.819489Z",
     "shell.execute_reply.started": "2024-10-26T11:49:19.453640Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_freq_resps(theCOM_6xs4p_pkg2, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "171cb133-0c3e-4d98-8aa8-e402e9f99cea",
   "metadata": {},
   "source": [
    "## General Conclusion\n",
    "\n",
    "My `COM` values are consistently slightly higher than Bob's, despite the excellent agreement between our `FOM` values.\n",
    "The reason for this seems to be my calculated values for $A_{ni}$, which are consistently slightly lower than Bob's.  \n",
    "(My $A_s$ values are also lower, but not by nearly as much.)\n",
    "\n",
    "The culprit would appear to be my calculated _crosstalk_ values.\n",
    "They are the most significant noise contributor.\n",
    "And my values are consistently lower than Bob's, which would explain my lower $A_{ni}$ values.\n",
    "\n",
    "**Indeed, digging into the MATLAB code reveals a significant recent divergence between its crosstalk calculation routine and the spec., which my Python code follows.**  \n",
    "(See the _Crosstalk_ section of _Appendix A_, below.)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fe24cc6-ed95-4b7f-8616-8e37a8405104",
   "metadata": {},
   "source": [
    "## Appendix A - Investigating Discrepancies\n",
    "\n",
    "Here, I'm going to try to troubleshoot the various discrepancies between my calculated numbers and Bob's.\n",
    "My hope is that by breaking the problem down into atomic components I can resolve the discrepancies.\n",
    "My goals here, in descending order of priority, are:\n",
    "\n",
    "1. Find a bug in my Python code that explains the observed discrepancy and fix it, confirming that the discrepancy has been eliminated.\n",
    "2. Find a bug in the MATLAB code that I can defend and alert Rich Melitz to it, requesting a fix.\n",
    "3. Generate plots and/or data, which will facilitate a meaningful discussion between me and Bob and Istvan and, hopefully, suggest next steps towards reconciliation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ae41cc6-d545-4088-9e70-bbfce2b8d094",
   "metadata": {},
   "source": [
    "### Forced EQ Match\n",
    "\n",
    "Before I do anything else, I want to make sure that the discrepancies between our results isn't just due to the slight differences in our chosen linear EQ solutions.\n",
    "So, here, I look at what happens when I bypass the EQ optimizer and just calculate COM using Bob's reported EQ solution.\n",
    "\n",
    "**Note:** Ignore the `fom` parameter in the tabulated results below.\n",
    "It's meaningless, since we aren't running EQ optimization in this case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "59bac864-36c0-4733-9fd3-60f8d917e757",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:19.821650Z",
     "iopub.status.busy": "2024-10-26T11:49:19.821253Z",
     "iopub.status.idle": "2024-10-26T11:49:22.438665Z",
     "shell.execute_reply": "2024-10-26T11:49:22.437688Z",
     "shell.execute_reply.started": "2024-10-26T11:49:19.821624Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metric\t\tBob's Value\tMy Value\tError\n",
      "=====================================================\n",
      "com:\t\t       4.30\t    0.00\t-100%\n",
      "fom:\t\t      16.90\t   47.59\t 182%\n",
      "As:\t\t      30.30\t   79.76\t 163%\n",
      "Ani:\t\t      18.50\t   79.76\t 331%\n",
      "vic_pulse_pk:\t      82.60\t   68.81\t -17%\n",
      "gDC:\t\t     -12.00\t  -12.00\t  -0%\n",
      "tx_taps:\t\n",
      "\t1:\t      -0.16\t   -0.16\t  -0%\n",
      "\t2:\t       0.00\t    0.00\t 100%\n",
      "dfe_taps:\t\n",
      "\t1:\t       0.58\t    0.48\t -17%\n",
      "\t2:\t       0.03\t   -0.01\t-118%\n",
      "\t3:\t       0.00\t   -0.11\t 100%\n",
      "\t4:\t      -0.07\t    0.01\t-112%\n",
      "sigma_ISI:\t       1.80\t    2.02\t  12%\n",
      "sigma_XT:\t       3.30\t    2.83\t -14%\n",
      "sigma_G:\t       1.60\t   44.67\t2692%\n",
      "sigma_Tx:\t       1.40\t   44.67\t3091%\n",
      "sigma_J:\t       0.40\t    1.28\t 220%\n",
      "sigma_N:\t       0.71\t    0.00\t-100%\n"
     ]
    }
   ],
   "source": [
    "theCOM_6xs4p_pkg1.gDC = -12\n",
    "theCOM_6xs4p_pkg1.gDC2 = 0\n",
    "theCOM_6xs4p_pkg1.com = theCOM_6xs4p_pkg1(do_opt_eq=False, tx_taps=[0, 0, -0.16, 0, 0, 0])\n",
    "print_results(theCOM_6xs4p_pkg1, 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5cba3e70-ccfa-4bcc-bd1a-c29b89dad162",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:22.439878Z",
     "iopub.status.busy": "2024-10-26T11:49:22.439476Z",
     "iopub.status.idle": "2024-10-26T11:49:25.138390Z",
     "shell.execute_reply": "2024-10-26T11:49:25.137629Z",
     "shell.execute_reply.started": "2024-10-26T11:49:22.439842Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metric\t\tBob's Value\tMy Value\tError\n",
      "=====================================================\n",
      "com:\t\t       3.65\t    0.00\t-100%\n",
      "fom:\t\t      16.25\t   48.13\t 196%\n",
      "As:\t\t      25.00\t   66.98\t 168%\n",
      "Ani:\t\t      16.46\t   66.98\t 307%\n",
      "vic_pulse_pk:\t      72.00\t   61.38\t -15%\n",
      "gDC:\t\t     -12.00\t  -12.00\t  -0%\n",
      "tx_taps:\t\n",
      "\t1:\t      -0.16\t   -0.16\t  -0%\n",
      "\t2:\t       0.00\t    0.00\t 100%\n",
      "dfe_taps:\t\n",
      "\t1:\t       0.68\t    0.60\t -12%\n",
      "\t2:\t       0.11\t    0.04\t -63%\n",
      "\t3:\t       0.01\t   -0.05\t-449%\n",
      "\t4:\t       0.01\t   -0.01\t-219%\n",
      "sigma_ISI:\t       1.90\t    2.01\t   6%\n",
      "sigma_XT:\t       2.80\t    2.49\t -11%\n",
      "sigma_G:\t       1.40\t   44.67\t3091%\n",
      "sigma_Tx:\t       1.10\t   44.67\t3961%\n",
      "sigma_J:\t       0.33\t    1.44\t 337%\n",
      "sigma_N:\t       0.71\t    0.00\t-100%\n"
     ]
    }
   ],
   "source": [
    "theCOM_6xs4p_pkg2.gDC = -12\n",
    "theCOM_6xs4p_pkg2.gDC2 = 0\n",
    "theCOM_6xs4p_pkg2.com = theCOM_6xs4p_pkg2(do_opt_eq=False, tx_taps=[0, 0, -0.16, 0, 0, 0])\n",
    "print_results(theCOM_6xs4p_pkg2, 2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c40e2b6-c355-4738-b1fe-13f91d132749",
   "metadata": {},
   "source": [
    "Okay, the discrepancies in our calculated values have nothing to do with the differences in our EQ solutions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db486b82-6934-437c-85e0-cbd77cb2a53f",
   "metadata": {},
   "source": [
    "### ISI\n",
    "\n",
    "Here, I'm going to focus on the discrepancy between our `sigma_ISI` numbers.\n",
    "\n",
    "**Note:** This one has actually been solved.\n",
    "I've left the following in place, for reference.\n",
    "\n",
    "#### FOM Code Comparison\n",
    "\n",
    "Here, I'm just sanity checking my own code, against the spec., and looking for any differences between my implementation and the MATLAB code.\n",
    "\n",
    "**Note:** This code comparison refers to the FOM calculation code only, because I'm trying to explain a discrepancy in our `sigma_ISI` numbers and only the FOM calculation treats ISI statistically.\n",
    "The actual noise calculation incorporates ISI explicitly.\n",
    "(See below.)\n",
    "\n",
    "First, for reference, the spec.:\n",
    "\n",
    "$$\n",
    "\\begin{equation}\n",
    "  h_{ISI}(n) =\n",
    "  \\begin{cases}\n",
    "    0 & \\text{n = 0} \\\\\n",
    "    h^{(0)}(t_s + nT_b) - h^{(0)}(t_s) b(n) & \\text{1 $\\leq$ n $\\leq$ $N_b$} \\\\\n",
    "    h^{(0)}(t_s + nT_b) & \\text{otherwise}\n",
    "  \\end{cases}\n",
    "  \\qquad \\text{(93A-27)}\n",
    "\\end{equation}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\sigma^2_{ISI} = \\sigma^2_X \\sum_n h^2_{ISI}(n) \\qquad \\text{(93A-31)}\n",
    "$$\n",
    "\n",
    "Next, my Python code:\n",
    "\n",
    "```python\n",
    "        # Step e - ISI.\n",
    "        vic_pulse_resp_post_samps = vic_pulse_resp[cursor_ix+M::M]\n",
    "        dfe_tap_weights = np.maximum(  # (93A-26)\n",
    "            self.params['dfe_min'],\n",
    "            np.minimum(\n",
    "                self.params['dfe_max'],\n",
    "                (vic_pulse_resp_post_samps[:nDFE] / vic_curs_val)))\n",
    "        hISI = vic_pulse_resp_post_samps \\\n",
    "             - vic_curs_val * np.pad( dfe_tap_weights\n",
    "                                    , (0, len(vic_pulse_resp_post_samps) - nDFE)\n",
    "                                    , mode='constant'\n",
    "                                    , constant_values=0 )  # (93A-27)\n",
    "        varISI = varX * sum(hISI**2)  # (93A-31)\n",
    "```\n",
    "\n",
    "And, finally, the MATLAB code (v2.60):\n",
    "\n",
    "```matlab\n",
    "%% Equation 93A-27 \"otherwise\" case %%\n",
    "far_cursors = sbr(cursor_i+param.samples_per_ui*(param.ndfe+1):param.samples_per_ui:end);\n",
    "t=((cursor_i+param.samples_per_ui*(param.ndfe+1):param.samples_per_ui:length(sbr))-(cursor_i+param.samples_per_ui*(param.ndfe+1)))*...\n",
    "    param.ui/param.samples_per_ui;\n",
    "precursors = sbr(cursor_i-param.samples_per_ui:-param.samples_per_ui:1);\n",
    "precursors = precursors(end:-1:1);\n",
    "\n",
    "%% Equation 93A-31 %%\n",
    "sigma_ISI = param.sigma_X*norm([precursors; excess_dfe_cursors; far_cursors]);\n",
    "ISI_N=param.sigma_X*norm( far_cursors);\n",
    "```\n",
    "\n",
    "Aha! The MATLAB code is including _pre-cursors_.\n",
    "(I wondered about that.)\n",
    "That's _not_ consistent w/ the spec., but let's try it and see if we get a match.  \n",
    "Yep, that brought me to within 2% of Bob's `sigma_ISI` number, for package option 2."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebdf7e65-1166-4477-ac18-c802e4b1c2d7",
   "metadata": {},
   "source": [
    "#### Effect on Noise Calculation\n",
    "\n",
    "Making a similar change to the noise calculation code has improved things, bringing my final $A_{ni}$ and $COM$ results more inline w/ Bob's, but a significant discrepancy in both remains."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91af734a-508b-4455-be90-4f40a4167295",
   "metadata": {},
   "source": [
    "### Crosstalk\n",
    "\n",
    "Next, I'll focus on crosstalk.\n",
    "Again, I'll separate the effort into FOM and noise calculation inquiries."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46409e23-2eaf-469f-b1c4-fe98e5c26ffb",
   "metadata": {},
   "source": [
    "#### FOM Code Comparison\n",
    "\n",
    "First, the spec.:\n",
    "\n",
    "$$\n",
    "[\\sigma_m^{(k)}]^2 = \\sigma^2_X \\sum_n [h^{(k)}((m/M + n) T_b)]^2 \\qquad \\text{(93A-33)}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\sigma^2_{XT} = \\sum_{k=1}^{K-1} [\\sigma_i^{(k)}]^2 \\qquad \\text{(93A-34)}\n",
    "$$\n",
    "\n",
    "where $i$ is chosen to maximize (93A-33).\n",
    "\n",
    "Next, my Python code:\n",
    "\n",
    "```python\n",
    "# Step g - Crosstalk.\n",
    "varXT = 0\n",
    "for pulse_resp in pulse_resps[1:]:  # (93A-34)\n",
    "    varXT += max([sum(np.array(self.filt_pr_samps(pulse_resp[m::M], As))**2)\n",
    "                  for m in range(M)])  # (93A-33)\n",
    "varXT *= varX\n",
    "```\n",
    "\n",
    "And, finally, the MATLAB code (v2.60):\n",
    "\n",
    "```matlab\n",
    "%% Equations 93A-33 and 93A-34 for FEXT (depends on TXFFE setting) %%\n",
    "if OP.RX_CALIBRATION\n",
    "    sigma_XT=0;\n",
    "else  \n",
    "    if ~OP.RxFFE\n",
    "        % with three outputs, the sigma_XT includes both FEXT and NEXT\n",
    "        % zhilei huang 01/11/2019\n",
    "        [sigma_XT,~,~] =  get_xtlk_noise(txffe, 'FEXT', param ,chdata);\n",
    "    else % John Ewen: 13/12/20018\n",
    "        [sigma_XT,~,~] =  get_xtlk_noise(txffe, 'FEXT', param ,chdata, C);\n",
    "    end\n",
    "end\n",
    "\n",
    "function [sigma_XT, sigma_FEXT, sigma_NEXT] = get_xtlk_noise( upsampled_txffe, type, param, chdata, C )\n",
    "% Modified not to double count crosstalk: John Ewen 13/12/2018\n",
    "% function sigma_XT = get_xtlk_noise( upsampled_txffe, type, param, chdata,ctle_indx,clow_indx, C,cursor_i)\n",
    "index_f2=find(chdata(1).faxis(:)>param.fb,1,'first');\n",
    "if isempty(index_f2), index_f2=length(chdata(1).faxis);end\n",
    "f=chdata(1).faxis;\n",
    "temp_angle=(param.samples_per_ui*param.sample_dt)*pi.*chdata(1).faxis;\n",
    "if(f(1)==0)\n",
    "    temp_angle(1)=1e-20;% we don't want to divide by zero\n",
    "end\n",
    "PWF_tx=ones(1,length(f));\n",
    "if max(upsampled_txffe) > 0\n",
    "    PWF_tx=zeros(1,length(f));\n",
    "    [mcur,icur] = max(upsampled_txffe);\n",
    "    for ii=1:length(upsampled_txffe)\n",
    "        PWF_tx=upsampled_txffe(ii).*exp(-1j*2*pi*(ii-icur).*f/param.fb)+PWF_tx;\n",
    "    end\n",
    "end\n",
    "PWF_rx=ones(1,length(f));\n",
    "if exist('C','var')\n",
    "    PWF_rx=zeros(1,length(f));\n",
    "    for ii=-param.RxFFE_cmx:param.RxFFE_cpx\n",
    "        PWF_rx=C(ii+param.RxFFE_cmx+1).*exp(-1j*2*pi*(ii+1).*f/param.fb)+PWF_rx;\n",
    "    end\n",
    "end\n",
    "MDFEXT=0;MDNEXT=0;MDNEXT_ICN=0;MDFEXT_ICN=0;\n",
    "for ii=2:size(chdata,2)\n",
    "    SINC = sin(temp_angle)./temp_angle;\n",
    "    PWF_data=SINC.^2;\n",
    "    PWF=PWF_data.*PWF_rx; % power weight function\n",
    "    PWFnext=abs(PWF);\n",
    "    PWF=PWF_data.*PWF_rx.*PWF_tx; % power weight function\n",
    "    PWFfext=abs(PWF);\n",
    "    if isequal(chdata(ii).type, 'FEXT')\n",
    "        MDFEXT=sqrt(abs(chdata(ii).sdd21ctf).^2+MDFEXT.^2); % power sum xtk\n",
    "        MDFEXT_ICN=sqrt(2*chdata(ii).delta_f/param.fb*sum( chdata(ii).A^2*PWFfext(1:index_f2).*abs(MDFEXT(1:index_f2)).^2)); %eq 46\n",
    "    elseif isequal(chdata(ii).type, 'NEXT')\n",
    "        MDNEXT=sqrt(abs(chdata(ii).sdd21ctf).^2+MDNEXT.^2); % power sum xtk\n",
    "        MDNEXT_ICN=sqrt(2*chdata(ii).delta_f/param.fb*sum( chdata(ii).A^2*PWFnext(1:index_f2).*abs(MDNEXT(1:index_f2)).^2)); %eq 47\n",
    "    end\n",
    "end\n",
    "if nargout == 1 && isequal(type,'NEXT')\n",
    "    sigma_XT = MDNEXT_ICN*sqrt((param.levels^2-1)/(3*(param.levels-1)^2));\n",
    "elseif nargout == 1 && isequal(type,'FEXT')\n",
    "    sigma_XT = MDFEXT_ICN*sqrt((param.levels^2-1)/(3*(param.levels-1)^2));\n",
    "elseif nargout == 3\n",
    "    sigma_XT=norm([ MDNEXT_ICN MDFEXT_ICN ])*sqrt((param.levels^2-1)/(3*(param.levels-1)^2));\n",
    "    sigma_NEXT = MDNEXT_ICN*sqrt((param.levels^2-1)/(3*(param.levels-1)^2));\n",
    "    sigma_FEXT = MDFEXT_ICN*sqrt((param.levels^2-1)/(3*(param.levels-1)^2));\n",
    "end\n",
    "\n",
    "function sigma_XT = get_xtlk_noise1( upsampled_txffe, type, param, chdata,C,cursor_i )\n",
    "% calculate crosstalk sigma at worst phase, per equation 93A-33, for\n",
    "% channels of chosen type (FEXT and NEXT are treated separately).\n",
    "\n",
    "sigma_XT_sqd=0;\n",
    "for k=1:param.num_s4p_files\n",
    "    if isequal(chdata(k).type, type)\n",
    "        sigma_i_sqd=0;\n",
    "        effective_channel = filter(upsampled_txffe, 1, chdata(k).ctle_imp_response);\n",
    "        N=round(length(effective_channel)/param.samples_per_ui)-3;\n",
    "        sbr=filter(ones(param.samples_per_ui, 1), 1, effective_channel);\n",
    "        if exist('C','var')\n",
    "            [ sbr,~] = force( sbr ,param, 0 , cursor_i, C );\n",
    "        end\n",
    "        for m=1:param.samples_per_ui\n",
    "            h=sbr(param.samples_per_ui*(1:N)+m);\n",
    "            sigma_i_sqd=max(param.sigma_X^2*sum(h.^2),sigma_i_sqd);\n",
    "        end\n",
    "        sigma_XT_sqd = sigma_XT_sqd + sigma_i_sqd;\n",
    "    end\n",
    "end\n",
    "sigma_XT=sqrt(sigma_XT_sqd);\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4214f25-c54a-48e5-9dd8-969fabbeed7d",
   "metadata": {},
   "source": [
    "**So, it looks like the original equation (`get_xtlk_noise1` in the code above), which appears to be consistent w/ (93A-33), has been replaced with something much more complicated (`get_xtlk_noise` in the code above), not at all consistent w/ (93A-33). Why?!**\n",
    "\n",
    "I think I'll stop here, until I've had a chance to discuss this w/ Bob and, maybe, Rich as well.\n",
    "\n",
    "Moving on to the noise calculation, now."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "097f8f1f-2dc7-4470-8396-56a48f9e6dc1",
   "metadata": {},
   "source": [
    "#### Crosstalk Histogram\n",
    "\n",
    "Here, I plot the histogram of \"deltas\" formed from the crosstalk samples."
   ]
  },
  {
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    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist1, edges1 = np.histogram(np.concatenate(theCOM_6xs4p_pkg1.xt_samps), bins=10_001)\n",
    "hist2, edges2 = np.histogram(np.concatenate(theCOM_6xs4p_pkg2.xt_samps), bins=10_001)\n",
    "centers1 = (edges1[:-1] + edges1[1:])/2\n",
    "centers2 = (edges2[:-1] + edges2[1:])/2\n",
    "As1 = theCOM_6xs4p_pkg1.rslts['As']\n",
    "As2 = theCOM_6xs4p_pkg2.rslts['As']\n",
    "\n",
    "plt.figure(figsize=(8, 4))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.plot(centers1*1e3, hist1)\n",
    "plt.axvline(0.001*As1, color='black', linestyle='dashed')\n",
    "plt.axvline(-0.001*As1, color='black', linestyle='dashed')\n",
    "plt.title(\"Package Option 1\")\n",
    "plt.xlabel(\"Value (mV)\")\n",
    "plt.ylabel(\"Count\")\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot(centers2*1e3, hist2)\n",
    "plt.axvline(0.001*As2, color='black', linestyle='dashed')\n",
    "plt.axvline(-0.001*As2, color='black', linestyle='dashed')\n",
    "plt.title(\"Package Option 2\")\n",
    "plt.xlabel(\"Value (mV)\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fa3c464-838c-4eea-a467-391b2d477c16",
   "metadata": {},
   "source": [
    "And I see, more or less, what I would expect: mostly singular values with a few doublets close in near zero and a complete void inside the recommended noise filtration threshold.\n",
    "Furthermore, the maximum magnitudes seem reasomable at about 1 mV.\n",
    "\n",
    "**Question for Bob:** Do you have, or can you generate, plots similar to the above, for comparison?\n",
    "\n",
    "#### Effect on Histogram\n",
    "\n",
    "Here, I just want to confirm that the addition of crosstalk to the interference \"delta-distributions\" really is widening them noticeably.\n",
    "To confirm this, I plot pairs of these delta-distributions: `py0`/`py1`, captured in the Python code, as follows:\n",
    "\n",
    "```python\n",
    "py = p(hISI)  # `hISI` from (93A-27); `p(y)` as per (93A-40)\n",
    "self.rslts['py0'] = py.copy()\n",
    "xt_samps = []\n",
    "pks = []\n",
    "for pulse_resp in pulse_resps[1:]:  # (93A-44)\n",
    "    i = np.argmax([sum(np.array(self.filt_pr_samps(pulse_resp[m::M], As))**2) for m in range(M)])  # (93A-33)\n",
    "    samps = self.filt_pr_samps(pulse_resp[i::M], As)\n",
    "    xt_samps.append(samps)\n",
    "    pk = p(samps)\n",
    "    pks.append(pk)\n",
    "    py = np.convolve(py, pk, mode='same')\n",
    "self.rslts['py1'] = py.copy()\n",
    "```\n",
    "\n",
    "As is clear from the code above, `py0` is the delta-dist. just before adding the crosstalk effect, while `py1` is immediately afterwards.\n",
    "I'll plot them both and compare."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b28391df-c164-4737-a11f-43e78a107dc2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:25.304862Z",
     "iopub.status.busy": "2024-10-26T11:49:25.304192Z",
     "iopub.status.idle": "2024-10-26T11:49:25.651480Z",
     "shell.execute_reply": "2024-10-26T11:49:25.650512Z",
     "shell.execute_reply.started": "2024-10-26T11:49:25.304841Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jNzc3uLm5Yffu3Thy5IhVvMOKiJoex636MXfcqimM6vrM/uWXX2R3NNSXwWBA165d6yy8unTpIvu5rpny6lLzhZ2fnx/27duHgQMH4uWXX0ZOTk69JtG4evUqRo8eDQcHB7z11lvo2bMnVCoVsrOzMX/+/HqNP4GBgUhLS8Py5csxZswYqFQqs46BWg6LJmowPz8/pKen4+LFi7KrFTUvg/vjh9nMmTNx7do1xMXFISoqCqtXr0ZkZKQsRqlU4k9/+hP+9Kc/wWAw4JVXXsEHH3yARYsWoU2bNrh+/TqWL1+O5cuX18rHy8sLTz31lGwa15qrMbd/a/e///0PAFrkRX/Ab4NJzS11ABo0cACQZnGr+cavpp+2bdsiICDA7P66dOkCe3t75Ofn11qXl5cHGxsbeHh4mOyjZ8+eAH77h0NDcgCAI0eOICEhAbNnz8aQIUPQt29fbN++HS+99BJycnJkhVddV4A+/fRTTJ06FStXrpTabt26hatXr9YrB5VKhV27duHRRx9FUFAQvv32WzzwwAMNOh4isl4ct+rHnHHrzJkzOHjwIGbNmoXRo0fL1hkMBkyZMgXbtm1DdHR0nX3U9dnes2dP7N27Fw8++KDZBVF9REdH49KlS/j888/RsWNHrFu3Dn/605+wcuVKLFiw4I757d+/H1euXMGOHTvw8MMPS+1nzpypdw4jRozASy+9hCeffBITJ07EZ599Vu8vHKmFWfSJKmrVsrOzBQDx3HPPydrDwsJEmzZtxMWLF6W2moco165dK4QQIjQ0VLRr107k5+dLMX+c5EAIIRISEgQAkZubK8rKysRnn31Wa3nkkUeESqUSn332mWzGN1MP1Pr6+jb4uFtiIojg4OBa7UlJSQKAmD9/vtQ2ZswY0blzZ1FYWFgr/vaHb01NBGFnZyeb5U6r1QoHBwejE0H88MMPsu11Op1wcHAQo0ePls1iZCwHY6qqqsSQIUNEt27dhF6vl9o///xzAUAsX75cFu/q6iqeeuqpWv107txZvPDCC7K25cuXCwCyiSPuNBFEcXGx6Nevn3BzcxOnTp0ymTsRtT4ct5rekiVLBABp1rw/euyxx4S3t7f0M4xMBDF//nwBQPz666+y9v379wsAIioqqla/lZWVsvi6xs66HDlyRNja2opXX31V1v70008Le3t7cfbsWantq6++EgCkmWdr7Ny5UwAQ+/fvl9rKy8uFr69vrbHmTrPnffbZZ6JNmzYiNDSUExFZKZay1GCDBw/G//3f/yEpKQlVVVUYPXo09u/fj5SUFERFRUlv0r58+TJefvllPPLII5g1axYAID4+Hvv27cMLL7yA7777DjY2NvjLX/6C0tJSPProo7jvvvtw7tw5rFu3Dr6+vujXrx9sbGwQEhJSK4/U1FQcPnzY6Lo+ffogIiICP/zwA1xdXZGUlISioiJs3LjRrGM9duyY9O6jU6dOSbdcAMCgQYPwpz/9yaz+7uTixYv45z//CeC3h0R//PFHfPDBB3BxccHs2bOluISEBIwaNQo+Pj6YPn067r//fhQVFSEzMxMXLlzAjz/+aHI/b7/9NtLT0zFq1Ci88soraNOmDT744AOUl5cb/Vb0jxwcHLB+/XpMmTIFQ4YMQWhoKLp06YKCggJ8+eWXePDBBxEfH1/n9mvXrkV2djb+/e9/o2PHjlL7+PHjMX78eLz55puYNGkSunfvDuC3b4n37t2LVatWwd3dHV5eXtBoNHjyySexZcsWODo6on///sjMzMTevXvh7Ox8x2O4nYuLi3Q+AgIC8N1336Fbt25m9UFE1ovjVtOPW1u3boWvr2+ddyaMHz8es2fPRnZ2NoYMGWI0xs/PDwDw6quvIjAwELa2tggNDcXo0aPx4osvIi4uDkePHsW4cePQtm1bnDx5EikpKVizZg2eeeYZs3Ourq7GjBkzoFarpXNSY82aNejfvz9mz54tnT9fX1/Y2tpi2bJl0Ol0sLOzw6OPPoqRI0eiU6dOmDp1Kl599VUoFAps2bIFQgizcwoJCZFu7XRwcLjjO6bIAixdtVHrVlFRIRYvXix69Ogh2rZtK3r16iXef/99Wcyf//xn0bFjR9m3NkL8fjVh2bJlQgghPv30UzFu3DjRtWtXoVQqRffu3cWLL74oLl26ZDIHU1O3BgcHi6+//loMHDhQ2NnZCW9vb5GSkmL2cdZcaTG2GJsCuzH+OOW4jY2N6Nq1qwgLCzN69eP06dMiPDxcqNVq0bZtW9GtWzfx5JNPik8//VSKqetKkxC/ffMaGBgoOnToIOzt7cUjjzwivf/oj8f/xytNNfbt2ycCAwOFo6OjUKlUomfPnuKFF14QR44cqfM4z58/Lzp06CCefPJJo+vPnTsn2rdvL8aPHy+15eXliYcffli0a9dOdu5//fVXMW3aNOHi4iI6dOggAgMDRV5enujRo4dZV5pqnDp1Sri5uYl+/fqJ4uLiOo+BiFofjltNN25lZWUJAGLRokV1xpw9e1YAkN5/BCNXmqqqqsTs2bNFly5dhEKhqDX9+IYNG4Sfn59o166d6Nixo/Dx8RFvvPGG7C4Lc6401by78PZx8nbvvfeeACC971AIIT788ENx//33C1tbW9k48t///leMGDFCtGvXTri7u4s33nhDfP3112Zfaarx97//3eh7nsjyFEI0oBwmagU8PT0xYMAA7Nq1y9KpEBER3RHHLSLrxSnHiYiIiIiITOAzTXRPu9OLAtu1awdHR8cWyoaIiMg0jltElsGiie5pbm5uJtdPnToVmzZtaplkiIiI7oDjFpFlsGiiu1Z93pyenp5ucn3NTEpERETNjeMWkfXiRBBEREREREQmcCIIIiIiIiIiE+6Z2/MMBgMKCwvRsWNHKBQKS6dDRHTPEELg2rVrcHd3h40Nv6u7HccmIiLLMHdsumeKpsLCwjrfVk1ERM3v/PnzuO+++yydhlXh2EREZFn1HZvumaKpY8eOAH47MQ4ODhbOhojo3qHX6+Hh4SF9DtPvODYREVmGuWPTPVM01dz24ODgwIGJiMgCePtZbRybiIgsq75jE28uJyIiIiIiMoFFExERERERkQksmoiIiIiIiExg0URERERERGQCiyYiIrJ6CQkJ8PT0hEqlgkajweHDh03Gp6SkwNvbGyqVCj4+Pti9e7e0rrKyEvPnz4ePjw/at28Pd3d3hIeHo7CwUNZHaWkpJk+eDAcHBzg5OSEiIgLXr1+XxRw7dgwPPfQQVCoVPDw8sHz58qY7aCIishosmoiIyKpt374dkZGRiI2NRXZ2NgYNGoTAwEBcvnzZaPzBgwcRFhaGiIgI5OTkICQkBCEhIcjNzQUA3LhxA9nZ2Vi0aBGys7OxY8cO5OfnY/z48bJ+Jk+ejOPHjyM9PR27du3CgQMHMGPGDGm9Xq/HuHHj0KNHD2RlZWHFihVYvHgxNmzY0Hwng4iILEIhhBCWTqIl6PV6ODo6QqfTcVpXIqIW1NjPX41Gg2HDhiE+Ph4AYDAY4OHhgdmzZ2PBggW14idNmoSysjLs2rVLahsxYgR8fX2RmJhodB8//PADhg8fjnPnzqF79+44ceIE+vfvjx9++AFDhw4FAKSlpeGJJ57AhQsX4O7ujvXr1+Nvf/sbtFotlEolAGDBggVITU1FXl5evY6NYxMRkWWY+/nLK01ERGS1KioqkJWVhYCAAKnNxsYGAQEByMzMNLpNZmamLB4AAgMD64wHAJ1OB4VCAScnJ6kPJycnqWACgICAANjY2ODQoUNSzMMPPywVTDX7yc/Px6+//mp0P+Xl5dDr9bKFiIisH4smIiKyWiUlJaiuroarq6us3dXVFVqt1ug2Wq3WrPhbt25h/vz5CAsLk75t1Gq16Nq1qyyuTZs26Ny5s9RPXfupWWdMXFwcHB0dpcXDw8NoHBERWRcWTUREdM+qrKzEs88+CyEE1q9f3+z7i4qKgk6nk5bz5883+z6JiKjxWDQRtQKZp69g1rZsFF8rt3QqRC3KxcUFtra2KCoqkrUXFRVBrVYb3UatVtcrvqZgOnfuHNLT02X3tKvV6loTTVRVVaG0tFTqp6791Kwzxs7ODg4ODrKFqDUSQmD4O3vhueBL3KyotnQ6RM2ORRNRKxD24ffYdewShr2z19KpELUopVIJPz8/ZGRkSG0GgwEZGRnw9/c3uo2/v78sHgDS09Nl8TUF08mTJ7F37144OzvX6uPq1avIysqS2r755hsYDAZoNBop5sCBA6isrJTtp2/fvujUqVPDD5qoFfjwP7/g8v//Iu/hFfssnA1R82PRRGTlqg33xASXRHWKjIzEhx9+iM2bN+PEiRN4+eWXUVZWhmnTpgEAwsPDERUVJcXPmTMHaWlpWLlyJfLy8rB48WIcOXIEs2bNAvBbwfTMM8/gyJEj2Lp1K6qrq6HVaqHValFRUQEA6NevH4KCgjB9+nQcPnwY//3vfzFr1iyEhobC3d0dAPDcc89BqVQiIiICx48fx/bt27FmzRpERka28Bkiannv7v59hkjeBUH3gjaWToCIiMiUSZMmobi4GDExMdBqtfD19UVaWpo06UJBQQFsbH7/DnDkyJHYtm0boqOjsXDhQvTu3RupqakYMGAAAODixYvYuXMnAMDX11e2r3379mHMmDEAgK1bt2LWrFkYO3YsbGxsMGHCBKxdu1aKdXR0xJ49ezBz5kz4+fnBxcUFMTExsnc5ERHR3YHvaSKycvvzL+OFjT9IP59853G0teVFYmo9+PlbN54baq08F3wp+/l/bz8OZRuOTdR68D1NRHeZlCMXZD9fv1VloUyIiIiA86U3arX963CBBTIhajksmoiIiIio3sqras+W9+uNCgtkQtRyWDQRERERUb0d+F9JrbYPD/xigUyIWg6LJiIr9+VPl2Q/X/j1poUyISIiApZ/nVerrYzvaqK7HIsmolZmya6fLZ0CERER0T2FRRNRK2PsXnIiIqKWcqvSYOkUiFociyYiIiIiIiITWDQRERERERGZwKKJiIiIiIjIBBZNRK3Mjxd0lk6BiIjuUUKIOtfpbla2YCZELYtFExERERHVS2lZ3S+x/fzoxRbMhKhlsWgiIiIiIiIygUUTERERERGRCSyaiIiIiKheblTU/a7AS7pbLZgJUctqUNGUkJAAT09PqFQqaDQaHD582GR8SkoKvL29oVKp4OPjg927d8vWL168GN7e3mjfvj06deqEgIAAHDp0SBZTWlqKyZMnw8HBAU5OToiIiMD169cbkj4RERERNcDqvSfrXLd+/+kWzISoZZldNG3fvh2RkZGIjY1FdnY2Bg0ahMDAQFy+fNlo/MGDBxEWFoaIiAjk5OQgJCQEISEhyM3NlWL69OmD+Ph4/PTTT/juu+/g6emJcePGobi4WIqZPHkyjh8/jvT0dOzatQsHDhzAjBkzGnDIRERERNQQeVq9pVMgsgiFMDV3pBEajQbDhg1DfHw8AMBgMMDDwwOzZ8/GggULasVPmjQJZWVl2LVrl9Q2YsQI+Pr6IjEx0eg+9Ho9HB0dsXfvXowdOxYnTpxA//798cMPP2Do0KEAgLS0NDzxxBO4cOEC3N3d75h3TZ86nQ4ODg7mHDKRxdyqrIb3orRa7WeXBlsgG6KG4edv3XhuqLUJXvsfHC+su3Di+ESthbmfv2ZdaaqoqEBWVhYCAgJ+78DGBgEBAcjMzDS6TWZmpiweAAIDA+uMr6iowIYNG+Do6IhBgwZJfTg5OUkFEwAEBATAxsam1m18RHeTzQfPWjoFIiIionteG3OCS0pKUF1dDVdXV1m7q6sr8vLyjG6j1WqNxmu1Wlnbrl27EBoaihs3bsDNzQ3p6elwcXGR+ujatas88TZt0Llz51r91CgvL0d5ebn0s17Py8nU+hRevWnpFIiIiCSmrjIR3c2sZva8Rx55BEePHsXBgwcRFBSEZ599ts7npOojLi4Ojo6O0uLh4dGE2RIRERER0b3CrKLJxcUFtra2KCoqkrUXFRVBrVYb3UatVtcrvn379ujVqxdGjBiBjz76CG3atMFHH30k9fHHAqqqqgqlpaV17jcqKgo6nU5azp8/b86hEhERERERATCzaFIqlfDz80NGRobUZjAYkJGRAX9/f6Pb+Pv7y+IBID09vc742/utub3O398fV69eRVZWlrT+m2++gcFggEajMbq9nZ0dHBwcZAsREREREZG5zHqmCQAiIyMxdepUDB06FMOHD8fq1atRVlaGadOmAQDCw8PRrVs3xMXFAQDmzJmD0aNHY+XKlQgODkZycjKOHDmCDRs2AADKysrwzjvvYPz48XBzc0NJSQkSEhJw8eJFTJw4EQDQr18/BAUFYfr06UhMTERlZSVmzZqF0NDQes2cR0RERERE1FBmF02TJk1CcXExYmJioNVq4evri7S0NGmyh4KCAtjY/H4Ba+TIkdi2bRuio6OxcOFC9O7dG6mpqRgwYAAAwNbWFnl5edi8eTNKSkrg7OyMYcOG4T//+Q8eeOABqZ+tW7di1qxZGDt2LGxsbDBhwgSsXbu2scdP1CoJIaBQKCydBhEREdE9oUETQcyaNQvnzp1DeXk5Dh06JLtFbv/+/di0aZMsfuLEicjPz0d5eTlyc3PxxBNPSOtUKhV27NiBixcvory8HIWFhfj8888xbNgwWR+dO3fGtm3bcO3aNeh0OiQlJaFDhw4NSZ+IiFqZhIQEeHp6QqVSQaPR4PDhwybjU1JS4O3tDZVKBR8fH+zevVu2fseOHRg3bhycnZ2hUChw9OhR2fqzZ89CoVAYXVJSUqQ4Y+uTk5Ob7LiJrEl9Xu1Zcr38jjFErZHVzJ5HRLV9mnXBaPu5KzdaOBMiy9m+fTsiIyMRGxuL7OxsDBo0CIGBgXXOsHrw4EGEhYUhIiICOTk5CAkJQUhICHJzc6WYsrIyjBo1CsuWLTPah4eHBy5duiRb3nzzTXTo0AGPP/64LHbjxo2yuJCQkCY7dqLW5tAvpZZOgahZsGgismJlFdVG21fv/V8LZ0JkOatWrcL06dMxbdo09O/fH4mJibC3t0dSUpLR+DVr1iAoKAjz5s1Dv379sGTJEgwZMgTx8fFSzJQpUxATE1Pr5es1bG1toVarZctnn32GZ599ttZdDk5OTrI4lUrVdAdPRERWgUUTERFZrYqKCmRlZcmKGxsbGwQEBCAzM9PoNpmZmbWKocDAwDrj6yMrKwtHjx5FRERErXUzZ86Ei4sLhg8fjqSkpHrdwkRERK2L2RNBEBERtZSSkhJUV1dLkw3VcHV1RV5entFttFqt0XitVtvgPD766CP069cPI0eOlLW/9dZbePTRR2Fvb489e/bglVdewfXr1/Hqq68a7ae8vFx6nQYA6PX6BudEREQth0UTUSvE77GJWs7Nmzexbds2LFq0qNa629sGDx6MsrIyrFixos6iKS4uDm+++Waz5UpERM2Dt+cREZHVcnFxga2tLYqKimTtRUVFUKvVRrdRq9Vmxd/Jp59+ihs3biA8PPyOsRqNBhcuXJBdTbpdVFQUdDqdtJw/f75BORFZwvf1mOQh6b9nWiATopbHoomIiKyWUqmEn58fMjIypDaDwYCMjAz4+/sb3cbf318WDwDp6el1xt/JRx99hPHjx6NLly53jD169Cg6deoEOzs7o+vt7Ozg4OAgW4hai22HC+4Yk3Xu1xbIhKjl8fY8IiKyapGRkZg6dSqGDh2K4cOHY/Xq1SgrK8O0adMAAOHh4ejWrRvi4uIAAHPmzMHo0aOxcuVKBAcHIzk5GUeOHMGGDRukPktLS1FQUIDCwkIAQH5+PgBIM+DVOHXqFA4cOFDrPU8A8MUXX6CoqAgjRoyASqVCeno63n33Xbz++uvNdi6IiMgyWDQREZFVmzRpEoqLixETEwOtVgtfX1+kpaVJkz0UFBTAxub3GydGjhyJbdu2ITo6GgsXLkTv3r2RmpqKAQMGSDE7d+6Uii4ACA0NBQDExsZi8eLFUntSUhLuu+8+jBs3rlZebdu2RUJCAubOnQshBHr16iVNj05ERHcXhbhH5kbV6/VwdHSETqfj7RDUangu+NJo+5MD3RD/3JAWzoaoYfj5WzeeG2pNZv8rB1/8WHjHuLNLg1sgG6LGMffzl880EbVCu45dsnQKRERERPcMFk1EREREdEeZp0ssnQKRxbBoIiIiIqI7KrleYekUiCyGRRMREREREZEJLJqIiIiIiIhMYNFERERERERkAosmIiIiIiIiE1g0ERERERERmcCiiYiIiIiaTGW1wdIpEDU5Fk1ERERE1GR+OFNq6RSImhyLJiIrJYSwdApERETmU1g6AaKmx6KJyErty79s6RSIiIiICCyaiKzWsQs6S6dARERERGDRREREREREZBKLJiIiIiIiIhNYNBERERGRSdduVdY79nRxWTNmQmQZLJqIiIiIyKQPD/xS79hFqbnNmAmRZbBoIiIiIiKTrpdXWzoFIoti0URERERERGQCiyYiIiIiIiITWDQRERERERGZwKKJiIiIiIjIhAYVTQkJCfD09IRKpYJGo8Hhw4dNxqekpMDb2xsqlQo+Pj7YvXu3tK6yshLz58+Hj48P2rdvD3d3d4SHh6OwsFDWh6enJxQKhWxZunRpQ9InahUOnyk1uV5vxvSvREREjXG9nGMO3dvMLpq2b9+OyMhIxMbGIjs7G4MGDUJgYCAuX75sNP7gwYMICwtDREQEcnJyEBISgpCQEOTm/jYd5Y0bN5CdnY1FixYhOzsbO3bsQH5+PsaPH1+rr7feeguXLl2SltmzZ5ubPlGrcfD0FZPrN3xb/+lfiYiIGuOTIxcsnQKRRZldNK1atQrTp0/HtGnT0L9/fyQmJsLe3h5JSUlG49esWYOgoCDMmzcP/fr1w5IlSzBkyBDEx8cDABwdHZGeno5nn30Wffv2xYgRIxAfH4+srCwUFBTI+urYsSPUarW0tG/fvgGHTHR3uFHB6V+JiIiIWoJZRVNFRQWysrIQEBDwewc2NggICEBmZqbRbTIzM2XxABAYGFhnPADodDooFAo4OTnJ2pcuXQpnZ2cMHjwYK1asQFVVlTnpExFRK9WUt4UDwI4dOzBu3Dg4OztDoVDg6NGjtfoYM2ZMrdvCX3rpJVlMQUEBgoODYW9vj65du2LevHkcm4iI7kJmFU0lJSWorq6Gq6urrN3V1RVardboNlqt1qz4W7duYf78+QgLC4ODg4PU/uqrryI5ORn79u3Diy++iHfffRdvvPFGnbmWl5dDr9fLFiIian2a+rZwACgrK8OoUaOwbNkyk/uePn267Lbw5cuXS+uqq6sRHByMiooKHDx4EJs3b8amTZsQExPTNAdORERWo42lE7hdZWUlnn32WQghsH79etm6yMhI6c8DBw6EUqnEiy++iLi4ONjZ2dXqKy4uDm+++Waz50xERM3r9tvCASAxMRFffvklkpKSsGDBglrxt98WDgBLlixBeno64uPjkZiYCACYMmUKAODs2bMm921vbw+1Wm103Z49e/Dzzz9j7969cHV1ha+vL5YsWYL58+dj8eLFUCqVDT1kIiKyMmZdaXJxcYGtrS2Kiopk7UVFRXUOKmq1ul7xNQXTuXPnkJ6eLrvKZIxGo0FVVVWdA15UVBR0Op20nD9//g5HR0RE1qalbguvy9atW+Hi4oIBAwYgKioKN27ckO3Hx8dHdjdFYGAg9Ho9jh8/brQ/3gVBRNQ6mVU0KZVK+Pn5ISMjQ2ozGAzIyMiAv7+/0W38/f1l8QCQnp4ui68pmE6ePIm9e/fC2dn5jrkcPXoUNjY26Nq1q9H1dnZ2cHBwkC1ERNS6tMRt4XV57rnn8M9//hP79u1DVFQUtmzZgueff/6O+6lZZ0xcXBwcHR2lxcPDw6yciIjIMsy+PS8yMhJTp07F0KFDMXz4cKxevRplZWXSbRPh4eHo1q0b4uLiAABz5szB6NGjsXLlSgQHByM5ORlHjhzBhg0bAPxWMD3zzDPIzs7Grl27UF1dLQ02nTt3hlKpRGZmJg4dOoRHHnkEHTt2RGZmJubOnYvnn38enTp1aqpzQUREJJkxY4b0Zx8fH7i5uWHs2LE4ffo0evbs2aA+o6KiZLeb6/V6Fk5ERK2A2UXTpEmTUFxcjJiYGGi1Wvj6+iItLU36dq2goAA2Nr9fwBo5ciS2bduG6OhoLFy4EL1790ZqaioGDBgAALh48SJ27twJAPD19ZXta9++fRgzZgzs7OyQnJyMxYsXo7y8HF5eXpg7d65s4CEiortPc94Wbi6NRgMAOHXqFHr27Am1Wl1rFr+a/da1Lzs7O6PP4RLdbc6X3oBHZ3tLp0HUZBo0EcSsWbMwa9Yso+v2799fq23ixImYOHGi0XhPT08IIUzub8iQIfj+++/NzpOIiFq3228LDwkJAfD7beF1jUM1t4W/9tprUtsfbwtviJppyd3c3KT9vPPOO7h8+bJ0q3jNM7n9+/dv1L6IWruyCk69T3cXq5o9j4iI6I+a+rZwACgtLUVBQQEKCwsBAPn5+QAgvTz99OnT2LZtG5544gk4Ozvj2LFjmDt3Lh5++GEMHDgQADBu3Dj0798fU6ZMwfLly6HVahEdHY2ZM2fyahIR0V2GRRNRK3Wm5LqlUyBqEU19WzgA7Ny5Uyq6ACA0NBQAEBsbK00XvnfvXqlA8/DwwIQJExAdHS1tY2tri127duHll1+Gv78/2rdvj6lTp+Ktt95q7lNCREQtTCHudG/cXUKv18PR0RE6nY4z6VGr4LngyzvGnF0a3AKZEDUOP3/rxnNDrUV9xqTbpb32ELzV/DtN1svcz1+zphwnIiIiIiK617BoIiIiIiIiMoFFExERERHVqaraYPY2pdcrmiETIsth0UREREREddqRc9HsbRZ9ntsMmRBZDosmIiIiIqrTZf0ts7f5paSsGTIhshwWTURERERERCawaCIiIiIiIjKBRRMREREREZEJLJqIiIiIiIhMYNFERERERERkAosmIiIiIqrT5WvlZm8jRDMkQmRBLJqIrNCtympLp0BERAQA+DjznKVTILI4Fk1EVujzo+a/SJCIiIiImgeLJiIrVF5lsHQKRERERPT/sWgiIiIiIiIygUUTERERERGRCSyaiIiIiIiITGDRREREREREZAKLJiIiIiIiIhNYNBERERFRk+M7B+luwqKJiIiIiJqc/malpVMgajIsmoiIiIiIiExg0URERERERGQCiyYiIiIiIiITWDQRWaETl67VK668ig/Z0r0hISEBnp6eUKlU0Gg0OHz4sMn4lJQUeHt7Q6VSwcfHB7t375at37FjB8aNGwdnZ2coFAocPXpUtr60tBSzZ89G37590a5dO3Tv3h2vvvoqdDqdLE6hUNRakpOTm+SYiYjIerBoIrJC/zpcUK+47T+cb+ZMiCxv+/btiIyMRGxsLLKzszFo0CAEBgbi8uXLRuMPHjyIsLAwREREICcnByEhIQgJCUFubq4UU1ZWhlGjRmHZsmVG+ygsLERhYSHee+895ObmYtOmTUhLS0NERESt2I0bN+LSpUvSEhIS0iTHTURE1qONpRMgoobjzER0L1i1ahWmT5+OadOmAQASExPx5ZdfIikpCQsWLKgVv2bNGgQFBWHevHkAgCVLliA9PR3x8fFITEwEAEyZMgUAcPbsWaP7HDBgAP79739LP/fs2RPvvPMOnn/+eVRVVaFNm9+HTycnJ6jV6iY5ViIisk680kRERFaroqICWVlZCAgIkNpsbGwQEBCAzMxMo9tkZmbK4gEgMDCwzvj60ul0cHBwkBVMADBz5ky4uLhg+PDhSEpKghCizj7Ky8uh1+tlC5E1a8y7ls7/erMJMyGyLBZNRERktUpKSlBdXQ1XV1dZu6urK7RardFttFqtWfH1zWPJkiWYMWOGrP2tt97CJ598gvT0dEyYMAGvvPIK1q1bV2c/cXFxcHR0lBYPD48G50TUEr74sbDB2775xfEmzITIshpUNDXlA7mVlZWYP38+fHx80L59e7i7uyM8PByFhfJf0tLSUkyePBkODg5wcnJCREQErl+/3pD0iYiI6k2v1yM4OBj9+/fH4sWLZesWLVqEBx98EIMHD8b8+fPxxhtvYMWKFXX2FRUVBZ1OJy3nz/O5RLJuFdWGBm97o4KTFdHdw+yiqakfyL1x4ways7OxaNEiZGdnY8eOHcjPz8f48eNl/UyePBnHjx9Heno6du3ahQMHDtT6xo+IiO4uLi4usLW1RVFRkay9qKiozueI1Gq1WfGmXLt2DUFBQejYsSM+++wztG3b1mS8RqPBhQsXUF5ebnS9nZ0dHBwcZAsREVk/s4um2x/I7d+/PxITE2Fvb4+kpCSj8bc/kNuvXz8sWbIEQ4YMQXx8PADA0dER6enpePbZZ9G3b1+MGDEC8fHxyMrKQkHBbzOInThxAmlpafjHP/4BjUaDUaNGYd26dUhOTq51RYqIiO4eSqUSfn5+yMjIkNoMBgMyMjLg7+9vdBt/f39ZPACkp6fXGV8XvV6PcePGQalUYufOnVCpVHfc5ujRo+jUqRPs7OzM2hcREVk3s2bPq3kgNyoqSmqrzwO5kZGRsrbAwECkpqbWuR+dTgeFQgEnJyepDycnJwwdOlSKCQgIgI2NDQ4dOoSnn37anMMgIqJWJDIyElOnTsXQoUMxfPhwrF69GmVlZdJseuHh4ejWrRvi4uIAAHPmzMHo0aOxcuVKBAcHIzk5GUeOHMGGDRukPktLS1FQUCB98Zafnw/gt6tUarVaKphu3LiBf/7zn7JJG7p06QJbW1t88cUXKCoqwogRI6BSqZCeno53330Xr7/+ekueHiIiagFmFU2mHsjNy8szuo25D+TeunUL8+fPR1hYmHTbglarRdeuXeWJt2mDzp0719lPeXm57PYIzlBERNQ6TZo0CcXFxYiJiYFWq4Wvry/S0tKksaWgoAA2Nr/fODFy5Ehs27YN0dHRWLhwIXr37o3U1FQMGDBAitm5c6dUdAFAaGgoACA2NhaLFy9GdnY2Dh06BADo1auXLJ8zZ87A09MTbdu2RUJCAubOnQshBHr16iXdjUFERHcXq3pPU2VlJZ599lkIIbB+/fpG9RUXF4c333yziTIjIiJLmjVrFmbNmmV03f79+2u1TZw4ERMnTqyzvxdeeAEvvPBCnevHjBljcupwAAgKCkJQUJDJGCIiujuY9UxTcz6QW1MwnTt3Dunp6bKHY9Vqda2JJqqqqlBaWlrnfjlDEREREVHj6G9WNXjbi3xPE91FzCqamuuB3JqC6eTJk9i7dy+cnZ1r9XH16lVkZWVJbd988w0MBgM0Go3R/XKGIiIiIqLGWZZm/PGL+rjZiBfjElkbs2/Pa+oHcisrK/HMM88gOzsbu3btQnV1tfScUufOnaFUKtGvXz8EBQVh+vTpSExMRGVlJWbNmoXQ0FC4u7s31bkganX0txr+DSARERER1Y/ZRVNTP5B78eJF7Ny5EwDg6+sr29e+ffswZswYAMDWrVsxa9YsjB07FjY2NpgwYQLWrl3bkGMmumtsOPALFj7Rz9JpEBEREd3VFOJOT7reJfR6PRwdHaHT6XirHlk9zwVf1jv27NLgZsyEqPH4+Vs3nhuyduaMR8ZwjCJrZe7nr9kvtyUiIiIiIrqXsGgiIiIiIiIygUUTERERERGRCSyaiIiIiIiITGDRRERERETN4h6Zb4zuASyaiIiIiKhZVBlYNNHdgUUTERERERGRCSyaiIiIiIiITGDRREREREREZAKLJiIiIiIiIhNYNBEREREREZnAoonIytyqrLZ0CkRERER0GxZNRFZm74kiS6dARETUJO9YulHBLwLp7sCiicjK8D2ARERkDQ6fKW10Hwn7TjVBJkSWx6KJiIiIiGopLatodB/nrpQ1QSZElseiiYiIiIiIyAQWTURERETULHjLOd0tWDQRERERERGZwKKJiIiIiIjIBBZNRERk9RISEuDp6QmVSgWNRoPDhw+bjE9JSYG3tzdUKhV8fHywe/du2fodO3Zg3LhxcHZ2hkKhwNGjR2v1cevWLcycORPOzs7o0KEDJkyYgKIi+SsBCgoKEBwcDHt7e3Tt2hXz5s1DVVVVo4+XiIisC4smIiKyatu3b0dkZCRiY2ORnZ2NQYMGITAwEJcvXzYaf/DgQYSFhSEiIgI5OTkICQlBSEgIcnNzpZiysjKMGjUKy5Ytq3O/c+fOxRdffIGUlBR8++23KCwsxJ///GdpfXV1NYKDg1FRUYGDBw9i8+bN2LRpE2JiYpru4IksqNLQ+AeSyir4JQLdHRSiKd5c1gro9Xo4OjpCp9PBwcHB0ukQ1emLHwsx+1859Y4/uzS4GbMharzGfv5qNBoMGzYM8fHxAACDwQAPDw/Mnj0bCxYsqBU/adIklJWVYdeuXVLbiBEj4Ovri8TERFns2bNn4eXlhZycHPj6+krtOp0OXbp0wbZt2/DMM88AAPLy8tCvXz9kZmZixIgR+Oqrr/Dkk0+isLAQrq6uAIDExETMnz8fxcXFUCqVzX5uiJrTqGXf4MKvNxvdD8cpskbmfv7yShMREVmtiooKZGVlISAgQGqzsbFBQEAAMjMzjW6TmZkpiweAwMDAOuONycrKQmVlpawfb29vdO/eXeonMzMTPj4+UsFUsx+9Xo/jx4/Xe19E1qopCiaiu0UbSydARERUl5KSElRXV8sKEwBwdXVFXl6e0W20Wq3ReK1WW+/9arVaKJVKODk51dlPXfupWWdMeXk5ysvLpZ/1en29cyIiIsvhlSYiK6O7WWnpFIiomcTFxcHR0VFaPDw8LJ0SERHVA4smIisTnZp756DbHDxV0kyZEFmei4sLbG1ta81aV1RUBLVabXQbtVptVnxdfVRUVODq1at19lPXfmrWGRMVFQWdTict58+fr3dORERkOSyaiFq5M1fKLJ0CUbNRKpXw8/NDRkaG1GYwGJCRkQF/f3+j2/j7+8viASA9Pb3OeGP8/PzQtm1bWT/5+fkoKCiQ+vH398dPP/0km8UvPT0dDg4O6N+/v9F+7ezs4ODgIFuIiMj68ZkmIiKyapGRkZg6dSqGDh2K4cOHY/Xq1SgrK8O0adMAAOHh4ejWrRvi4uIAAHPmzMHo0aOxcuVKBAcHIzk5GUeOHMGGDRukPktLS1FQUIDCwkIAvxVEwG9XiNRqNRwdHREREYHIyEh07twZDg4OmD17Nvz9/TFixAgAwLhx49C/f39MmTIFy5cvh1arRXR0NGbOnAk7O7uWPEVERNTMWDQREZFVmzRpEoqLixETEwOtVgtfX1+kpaVJky4UFBTAxub3GydGjhyJbdu2ITo6GgsXLkTv3r2RmpqKAQMGSDE7d+6Uii4ACA0NBQDExsZi8eLFAID3338fNjY2mDBhAsrLyxEYGIi///3v0ja2trbYtWsXXn75Zfj7+6N9+/aYOnUq3nrrreY8HUREZAF8TxORlfFc8KVZ8e88PQCTNT2aKRuixuPnb914bsiamTse1YXvaSJrxPc0ERERERERNSEWTURERERERCY0qGhKSEiAp6cnVCoVNBoNDh8+bDI+JSUF3t7eUKlU8PHxwe7du2Xrd+zYgXHjxsHZ2RkKhQJHjx6t1ceYMWOgUChky0svvdSQ9ImIiIiIiOrN7KJp+/btiIyMRGxsLLKzszFo0CAEBgbKply93cGDBxEWFoaIiAjk5OQgJCQEISEhyM39/V00ZWVlGDVqFJYtW2Zy39OnT8elS5ekZfny5eamT0REREREZBazi6ZVq1Zh+vTpmDZtGvr374/ExETY29sjKSnJaPyaNWsQFBSEefPmoV+/fliyZAmGDBmC+Ph4KWbKlCmIiYlBQECAyX3b29tL08Gq1Wo+NEtERERERM3OrKKpoqICWVlZsuLGxsYGAQEByMzMNLpNZmZmrWIoMDCwznhTtm7dChcXFwwYMABRUVG4ceOG2X0QERERERGZw6z3NJWUlKC6ulp6N0YNV1dX5OXlGd1Gq9UajddqtWYl+txzz6FHjx5wd3fHsWPHMH/+fOTn52PHjh1G48vLy1FeXi79rNfrzdofERERERER0Ipebjtjxgzpzz4+PnBzc8PYsWNx+vRp9OzZs1Z8XFwc3nzzzZZMkYiIiOiuUF5V3WR9nS+9AY/O9k3WH5ElmHV7nouLC2xtbVFUVCRrLyoqglqtNrqNWq02K76+NBoNAODUqVNG10dFRUGn00nL+fPnG7U/Imv14YFfLJ0CERHdZXIKrjZZXxs4TtFdwKyiSalUws/PDxkZGVKbwWBARkYG/P39jW7j7+8viweA9PT0OuPrq2Zacjc3N6Pr7ezs4ODgIFuI7kZnr/DZPiIiIqLmZPbteZGRkZg6dSqGDh2K4cOHY/Xq1SgrK8O0adMAAOHh4ejWrRvi4uIAAHPmzMHo0aOxcuVKBAcHIzk5GUeOHMGGDRukPktLS1FQUIDCwkIAQH5+PgBIs+SdPn0a27ZtwxNPPAFnZ2ccO3YMc+fOxcMPP4yBAwc2+iQQERERERHVxeyiadKkSSguLkZMTAy0Wi18fX2RlpYmTfZQUFAAG5vfL2CNHDkS27ZtQ3R0NBYuXIjevXsjNTUVAwYMkGJ27twpFV0AEBoaCgCIjY3F4sWLoVQqsXfvXqlA8/DwwIQJExAdHd3gAyciIiIiIqoPhRBCWDqJlqDX6+Ho6AidTsdb9ciqeS740uxtzi4NboZMiJoGP3/rxnND1ur7X64gdMP3TdLXlBE9sCRkwJ0DiVqQuZ+/Zr/cloiIiIiI6F7CoomIiIiIiMgEFk1EREREJJOWq22yvrZ8f67J+iKyFBZNRERERCSz6eBZS6dAZFVYNBEREREREZnAoomIiIiIiMgEFk1EREREREQmsGgiIiIiIiIygUUTkRW5VVlt6RSIiIiI6A9YNBFZkaxzv1o6BSIiIiL6AxZNREREREREJrBoIiIiIiIiMoFFExERWb2EhAR4enpCpVJBo9Hg8OHDJuNTUlLg7e0NlUoFHx8f7N69W7ZeCIGYmBi4ubmhXbt2CAgIwMmTJ6X1+/fvh0KhMLr88MMPAICzZ88aXf/99983/QkgIiKLYtFERERWbfv27YiMjERsbCyys7MxaNAgBAYG4vLly0bjDx48iLCwMERERCAnJwchISEICQlBbm6uFLN8+XKsXbsWiYmJOHToENq3b4/AwEDcunULADBy5EhcunRJtvzlL3+Bl5cXhg4dKtvf3r17ZXF+fn7NdzKIiMgiWDQREZFVW7VqFaZPn45p06ahf//+SExMhL29PZKSkozGr1mzBkFBQZg3bx769euHJUuWYMiQIYiPjwfw21Wm1atXIzo6Gk899RQGDhyIjz/+GIWFhUhNTQUAKJVKqNVqaXF2dsbnn3+OadOmQaFQyPbn7Owsi23btm2zng8iImp5LJqIiMhqVVRUICsrCwEBAVKbjY0NAgICkJmZaXSbzMxMWTwABAYGSvFnzpyBVquVxTg6OkKj0dTZ586dO3HlyhVMmzat1rrx48eja9euGDVqFHbu3GnyeMrLy6HX62ULERFZPxZNRERktUpKSlBdXQ1XV1dZu6urK7RardFttFqtyfia/5rT50cffYTAwEDcd999UluHDh2wcuVKpKSk4Msvv8SoUaMQEhJisnCKi4uDo6OjtHh4eNQZS0RE1qONpRMgIiKyZhcuXMDXX3+NTz75RNbu4uKCyMhI6edhw4ahsLAQK1aswPjx4432FRUVJdtGr9ezcCKrI4Ro8j71tyrhoOKtq9R68UoTERFZLRcXF9ja2qKoqEjWXlRUBLVabXQbtVptMr7mv/Xtc+PGjXB2dq6zELqdRqPBqVOn6lxvZ2cHBwcH2UJkbU4XX2/yPjf/92yT90nUklg0ERGR1VIqlfDz80NGRobUZjAYkJGRAX9/f6Pb+Pv7y+IBID09XYr38vKCWq2Wxej1ehw6dKhWn0IIbNy4EeHh4fWa4OHo0aNwc3Or9/ERWSND019oQmVzdErUgnh7HpEVaYY7IohavcjISEydOhVDhw7F8OHDsXr1apSVlUmTMoSHh6Nbt26Ii4sDAMyZMwejR4/GypUrERwcjOTkZBw5cgQbNmwAACgUCrz22mt4++230bt3b3h5eWHRokVwd3dHSEiIbN/ffPMNzpw5g7/85S+18tq8eTOUSiUGDx4MANixYweSkpLwj3/8oxnPBhERWQKLJiIrkvTfMw3arvDqTbg7tWvibIisw6RJk1BcXIyYmBhotVr4+voiLS1NmsihoKAANja/3zgxcuRIbNu2DdHR0Vi4cCF69+6N1NRUDBgwQIp54403UFZWhhkzZuDq1asYNWoU0tLSoFKpZPv+6KOPMHLkSHh7exvNbcmSJTh37hzatGkDb29vbN++Hc8880wznAUiIrIkhWiOp/2skF6vh6OjI3Q6He8hJ6vlueDLBm23fvIQPO7DW4LIOvHzt248N2SN/ld0DePeP9Ckfb46tjciH+vTpH0SNYa5n798pomIiIiIiMgEFk1EREREJPm1rKLJ+2yOGfmIWhKLJiIiIiKSLP7i5ybv88tjl5q8T6KWxKKJiIiIiCSnLl+zdApEVodFExERERERkQksmoiIiIiIiExg0URERERERGQCiyYiIiIiIiITWDQRERERkaSyWlg6BSKr06CiKSEhAZ6enlCpVNBoNDh8+LDJ+JSUFHh7e0OlUsHHxwe7d++Wrd+xYwfGjRsHZ2dnKBQKHD16tFYft27dwsyZM+Hs7IwOHTpgwoQJKCoqakj6RERERERE9WZ20bR9+3ZERkYiNjYW2dnZGDRoEAIDA3H58mWj8QcPHkRYWBgiIiKQk5ODkJAQhISEIDc3V4opKyvDqFGjsGzZsjr3O3fuXHzxxRdISUnBt99+i8LCQvz5z382N32iu9LRC1ctnQIRERHRXUshhDDrGqxGo8GwYcMQHx8PADAYDPDw8MDs2bOxYMGCWvGTJk1CWVkZdu3aJbWNGDECvr6+SExMlMWePXsWXl5eyMnJga+vr9Su0+nQpUsXbNu2Dc888wwAIC8vD/369UNmZiZGjBhxx7z1ej0cHR2h0+ng4OBgziETtRjPBV82eNuzS4ObMBOipsPP37rx3JA1asxYZArHKbIm5n7+mnWlqaKiAllZWQgICPi9AxsbBAQEIDMz0+g2mZmZsngACAwMrDPemKysLFRWVsr68fb2Rvfu3evsp7y8HHq9XrYQERERERGZy6yiqaSkBNXV1XB1dZW1u7q6QqvVGt1Gq9WaFV9XH0qlEk5OTvXuJy4uDo6OjtLi4eFR7/0RERERERHVuGtnz4uKioJOp5OW8+fPWzolIiIiIiJqhdqYE+zi4gJbW9tas9YVFRVBrVYb3UatVpsVX1cfFRUVuHr1quxqk6l+7OzsYGdnV+99EBEREd3rzHzU3Sxl5VVob2fWPz2JrIZZV5qUSiX8/PyQkZEhtRkMBmRkZMDf39/oNv7+/rJ4AEhPT68z3hg/Pz+0bdtW1k9+fj4KCgrM6oeIiIiI6nalrKLZ+v539oVm65uouZld7kdGRmLq1KkYOnQohg8fjtWrV6OsrAzTpk0DAISHh6Nbt26Ii4sDAMyZMwejR4/GypUrERwcjOTkZBw5cgQbNmyQ+iwtLUVBQQEKCwsB/FYQAb9dYVKr1XB0dERERAQiIyPRuXNnODg4YPbs2fD396/XzHlEREREdGfNeKEJBgNfmkutl9lF06RJk1BcXIyYmBhotVr4+voiLS1NmuyhoKAANja/X8AaOXIktm3bhujoaCxcuBC9e/dGamoqBgwYIMXs3LlTKroAIDQ0FAAQGxuLxYsXAwDef/992NjYYMKECSgvL0dgYCD+/ve/N+igiYiIiIiI6svs9zS1VnwXBrUGfE8T3Y34+Vs3nhuyNsXXyjHsnb3N0vfiP/XHCw96NUvfROZq1vc0ERERERER3WtYNBERERERAKC8qrrZ+m7OSSaImhuLJiIrcbOi+QYqIiKi+kjYd7rZ+l73zalm65uoubFoIrISZ0rKLJ0CERHd43IKfrV0CkRWiUUTERFZvYSEBHh6ekKlUkGj0eDw4cMm41NSUuDt7Q2VSgUfHx/s3r1btl4IgZiYGLi5uaFdu3YICAjAyZMnZTGenp5QKBSyZenSpbKYY8eO4aGHHoJKpYKHhweWL1/eNAdMRERWhUUTERFZte3btyMyMhKxsbHIzs7GoEGDEBgYiMuXLxuNP3jwIMLCwhAREYGcnByEhIQgJCQEubm5Uszy5cuxdu1aJCYm4tChQ2jfvj0CAwNx69YtWV9vvfUWLl26JC2zZ8+W1un1eowbNw49evRAVlYWVqxYgcWLF8veQ0hERHcHFk1ERGTVVq1ahenTp2PatGno378/EhMTYW9vj6SkJKPxa9asQVBQEObNm4d+/fphyZIlGDJkCOLj4wH8dpVp9erViI6OxlNPPYWBAwfi448/RmFhIVJTU2V9dezYUXrRulqtRvv27aV1W7duRUVFBZKSkvDAAw8gNDQUr776KlatWtVs54KIiCyDRRMREVmtiooKZGVlISAgQGqzsbFBQEAAMjMzjW6TmZkpiweAwMBAKf7MmTPQarWyGEdHR2g0mlp9Ll26FM7Ozhg8eDBWrFiBqqoq2X4efvhhKJVK2X7y8/Px6698LoRap5LrnOGOyJg2lk6AiIioLiUlJaiuroarq6us3dXVFXl5eUa30Wq1RuO1Wq20vqatrhgAePXVVzFkyBB07twZBw8eRFRUFC5duiRdSdJqtfDy8qrVR826Tp061cqtvLwc5eXl0s96vb7ugyeygJLr5XcOIroHsWgiIiIyIjIyUvrzwIEDoVQq8eKLLyIuLg52dnYN6jMuLg5vvvlmU6VIREQthLfnERGR1XJxcYGtrS2Kiopk7UVFRVCr1Ua3UavVJuNr/mtOnwCg0WhQVVWFs2fPmtzP7fv4o6ioKOh0Omk5f/58nfsjIiLrwaKJiIisllKphJ+fHzIyMqQ2g8GAjIwM+Pv7G93G399fFg8A6enpUryXlxfUarUsRq/X49ChQ3X2CQBHjx6FjY0NunbtKu3nwIEDqKyslO2nb9++Rm/NAwA7Ozs4ODjIFiIisn4smoiIyKpFRkbiww8/xObNm3HixAm8/PLLKCsrw7Rp0wAA4eHhiIqKkuLnzJmDtLQ0rFy5Enl5eVi8eDGOHDmCWbNmAQAUCgVee+01vP3229i5cyd++uknhIeHw93dHSEhIQB+m+Rh9erV+PHHH/HLL79g69atmDt3Lp5//nmpIHruueegVCoRERGB48ePY/v27VizZo3stj4iIro78JkmIivx/S9XGrX9zYpqtFPaNlE2RNZj0qRJKC4uRkxMDLRaLXx9fZGWliZNulBQUAAbm9+/Axw5ciS2bduG6OhoLFy4EL1790ZqaioGDBggxbzxxhsoKyvDjBkzcPXqVYwaNQppaWlQqVQAfrsilJycjMWLF6O8vBxeXl6YO3eurCBydHTEnj17MHPmTPj5+cHFxQUxMTGYMWNGC50ZIiJqKQohhLB0Ei1Br9fD0dEROp2Ot0OQVfJc8GWjtk+eMQIj7nduomyImg4/f+vGc0PWxGAQuH/h7mbdxycv+mO4V+dm3QdRfZj7+cvb84iIiIgILfEt+iXdzRbYC1HTY9FERERERERkAosmIiIiIsI98sQGUYOwaCIiIiIiIjKBRRMRERERIb/oWrPvIy1X2+z7IGoOLJqIiIiICOsyTjX7Pr5i0UStFIsmIiIiIiIiE1g0ERERERFEi0w6TtQ6sWgiuksUXLlh6RSIiKgV4+R5RHVj0UR0l3jj38csnQIREbVie08UWToFIqvFoomIiIiIYOCVJqI6sWgiIiIiIiIygUUTERERERGRCSyaiIiIiIiITGDRREREREQtprLaYOkUiMzGoomIiIiIWsz3v1yxdApEZmPRREREREREZEKDiqaEhAR4enpCpVJBo9Hg8OHDJuNTUlLg7e0NlUoFHx8f7N69W7ZeCIGYmBi4ubmhXbt2CAgIwMmTJ2Uxnp6eUCgUsmXp0qUNSZ+IiIiIiKjezC6atm/fjsjISMTGxiI7OxuDBg1CYGAgLl++bDT+4MGDCAsLQ0REBHJychASEoKQkBDk5uZKMcuXL8fatWuRmJiIQ4cOoX379ggMDMStW7dkfb311lu4dOmStMyePdvc9Ims0s2KakunQERE9zAhWu4lTeWVfKaJWh+zi6ZVq1Zh+vTpmDZtGvr374/ExETY29sjKSnJaPyaNWsQFBSEefPmoV+/fliyZAmGDBmC+Ph4AL/9kq5evRrR0dF46qmnMHDgQHz88ccoLCxEamqqrK+OHTtCrVZLS/v27c0/YiIrdO1WpaVTICKie9hXudoW29eytLwW2xdRUzGraKqoqEBWVhYCAgJ+78DGBgEBAcjMzDS6TWZmpiweAAIDA6X4M2fOQKvVymIcHR2h0Whq9bl06VI4Oztj8ODBWLFiBaqqqurMtby8HHq9XrYQERERUW2HWnByhpOXr7fYvoiaShtzgktKSlBdXQ1XV1dZu6urK/LyjH9roNVqjcZrtVppfU1bXTEA8Oqrr2LIkCHo3LkzDh48iKioKFy6dAmrVq0yut+4uDi8+eab5hweERERERFRLWYVTZYUGRkp/XngwIFQKpV48cUXERcXBzs7u1rxUVFRsm30ej08PDxaJFciIiIiIrp7mHV7nouLC2xtbVFUVCRrLyoqglqtNrqNWq02GV/zX3P6BACNRoOqqiqcPXvW6Ho7Ozs4ODjIFiIiIiKqbXPmOUunQGTVzCqalEol/Pz8kJGRIbUZDAZkZGTA39/f6Db+/v6yeABIT0+X4r28vKBWq2Uxer0ehw4dqrNPADh69ChsbGzQtWtXcw6BiIhaoZZ+1cXZs2cREREBLy8vtGvXDj179kRsbCwqKipkMX98FYZCocD333/ftAdPREQWZ/bseZGRkfjwww+xefNmnDhxAi+//DLKysowbdo0AEB4eDiioqKk+Dlz5iAtLQ0rV65EXl4eFi9ejCNHjmDWrFkAAIVCgddeew1vv/02du7ciZ9++gnh4eFwd3dHSEgIgN8mk1i9ejV+/PFH/PLLL9i6dSvmzp2L559/Hp06dWqC00BERNbKEq+6yMvLg8FgwAcffIDjx4/j/fffR2JiIhYuXFhrf3v37pW9DsPPz695TgQREVmMQjRgYv74+HisWLECWq0Wvr6+WLt2LTQaDQBgzJgx8PT0xKZNm6T4lJQUREdH4+zZs+jduzeWL1+OJ554QlovhEBsbCw2bNiAq1evYtSoUfj73/+OPn36AACys7PxyiuvIC8vD+Xl5fDy8sKUKVMQGRlp9HkmY/R6PRwdHaHT6XirHlmdrHOlmLDe+AyU5jgT9wQUCkUTZETUdBr7+avRaDBs2DDpVRUGgwEeHh6YPXs2FixYUCt+0qRJKCsrw65du6S2ESNGwNfXF4mJiRBCwN3dHX/961/x+uuvAwB0Oh1cXV2xadMmhIaGGs1jxYoVWL9+PX755RcAv11p8vLyQk5ODnx9fc0+LoBjE1kPzwVftuj+zi4NbtH9Ef2RuZ+/DZoIYtasWdKVoj/av39/rbaJEydi4sSJdfanUCjw1ltv4a233jK6fsiQIbzdge5qi3f+3CT9nC6+jl5dOzZJX0TWoOZVF7ffwVCfV13cPhEQ8NurLmre/XenV13UVTTpdDp07ty5Vvv48eNx69Yt9OnTB2+88QbGjx9v7mES3XNuVFTBXtlq5iMjMv/2PCJqejcrq5ukH0PLvdCdqEWYetXF7a+luF1TveridqdOncK6devw4osvSm0dOnTAypUrkZKSgi+//BKjRo1CSEgIdu7cWefx8B2CRL/5pbjM0ikQmYUlPhERkQkXL15EUFAQJk6ciOnTp0vtLi4usitaw4YNQ2FhIVasWFHn1Sa+Q5CIqHXilSYiIrJaln7VRWFhIR555BGMHDkSGzZsuGO+Go0Gp06dqnN9VFQUdDqdtJw/f/6OfRI1twY83t5o5VVNc4cFUUth0URERFbLkq+6uHjxIsaMGQM/Pz9s3LgRNjZ3HjKPHj0KNze3OtfzHYJkjfaeMD4TZXNa8XV+i++TqDF4ex4REVm1yMhITJ06FUOHDsXw4cOxevXqWq+66NatG+Li4gD89qqL0aNHY+XKlQgODkZycjKOHDkiXSm6/VUXvXv3hpeXFxYtWiR71UVNwdSjRw+89957KC4ulvKpuRq1efNmKJVKDB48GACwY8cOJCUl4R//+EdLnRqiJnG8UNfi+/z+l9IW3ydRY7BoIrICRbpbTdJPRZWhSfohsiaTJk1CcXExYmJipFddpKWlSRM5FBQUyK4CjRw5Etu2bUN0dDQWLlyI3r17IzU1FQMGDJBi3njjDZSVlWHGjBnSqy7S0tKgUqkA/HZl6tSpUzh16hTuu+8+WT6338q0ZMkSnDt3Dm3atIG3tze2b9+OZ555pjlPBxERWUCD3tPUGvFdGGTNmur9GIEPuOKDKUObpC+ipsLP37rx3JA1GPFuBrT6pvnyzhx8VxNZkrmfv3ymiegu8k1ey9+XTkRErZslCiai1oZFExERERERkQksmoiIiIioxd0jT4jQXYJFExERERG1uEtNNAkSUUtg0URERERERGQCiyaiu0hlNW91ICKi+rtyvdxi+84puGqxfROZi0UTkYVVVvPdSkREZBlf/nTJYvtemnbCYvsmMheLJiIL43OwRERkKdduVVls35eu8pkmaj1YNBFZmACrJiIisowVX+dbbN9VBo5/1HqwaCKyMF5pIiIiIrJuLJqILKyCzzQREdE9iu9qotaCRRORhW3+79km7e96ueXuTyciIjJHeRW/OKTWgUUTkYUdOfdrk/Z3s6K6SfsjIqK7kzXM3qrlC26plWDRRGRhBt6aQEREFpBx4rKlU8DSr/IsnQJRvbBoIrIw1kxERGQJ3/9yxdIpIO241tIpENULiyYiC/vuVEmT9vdL8fUm7Y+IiO5Omw6etXQKRK0Giyaiu8ziL362dApEREREdxUWTUR3mSoreLCXiIiovqxhQgqiO2HRRHSX0d2stHQKRERk5fK11yydgmQzbxOkVoBFE9Fd5vK1ckunQEREVu6Db09bOgXJ21+esHQKRHfEoomIiIjoHrMj56KlUyBqVVg0EVlQtYHzjRMRUcsSVviuC76YnawdiyYiC/rkyPlm6ZfFGBER1eXAyaZ91UVTmJOcY+kUiExi0URkQd8108DFmYiIiKguU5MOWzqFWvb8XGTpFIhMYtFEZEFf/nSpWfpN5b3qRERkxPXyKkunUKecgl8tnQJRnRpUNCUkJMDT0xMqlQoajQaHD5v+xiIlJQXe3t5QqVTw8fHB7t27ZeuFEIiJiYGbmxvatWuHgIAAnDx5UhZTWlqKyZMnw8HBAU5OToiIiMD169cbkj7RXS86NdfSKRA1KWsdd44dO4aHHnoIKpUKHh4eWL58edMcMFEzGRD7taVTqNPTfz9o6RSI6mR20bR9+3ZERkYiNjYW2dnZGDRoEAIDA3H58mWj8QcPHkRYWBgiIiKQk5ODkJAQhISEIDf393/ULV++HGvXrkViYiIOHTqE9u3bIzAwELdu3ZJiJk+ejOPHjyM9PR27du3CgQMHMGPGjAYcMpF1aM6X0FbxmSa6i1jruKPX6zFu3Dj06NEDWVlZWLFiBRYvXowNGzY038kgaoSEfacsncIdDVxsvUUd3dsUwswpVDQaDYYNG4b4+HgAgMFggIeHB2bPno0FCxbUip80aRLKysqwa9cuqW3EiBHw9fVFYmIihBBwd3fHX//6V7z++usAAJ1OB1dXV2zatAmhoaE4ceIE+vfvjx9++AFDhw4FAKSlpeGJJ57AhQsX4O7ufse89Xo9HB0dodPp4ODgYM4hEzWLJ9b8Bz9f0jdb//tfHwNPl/bN1j9RfTX289dax53169fjb3/7G7RaLZRKJQBgwYIFSE1NRV5eXoucG6L6uPDrDYxats/SaZjls1dGwtfDCQqFwtKp0F3K3M/fNuZ0XlFRgaysLERFRUltNjY2CAgIQGZmptFtMjMzERkZKWsLDAxEamoqAODMmTPQarUICAiQ1js6OkKj0SAzMxOhoaHIzMyEk5OTNHABQEBAAGxsbHDo0CE8/fTTtfZbXl6O8vLfX/Kp1zfuH6evp/yIsyVljeqDqMYl3S1cvHqzWfcx5r39GHSfI9rYyi8oc/ihhnp6SDdM1vRo0X1a87iTmZmJhx9+WCqYavazbNky/Prrr+jUqVOt3JpybNLdrETEph8avD3d/UrLKvBLK/23y+236g3ycEIbGwXHLzJq8fgHMKCbY7Pvx6yiqaSkBNXV1XB1dZW1u7q61vmtmlarNRqv1Wql9TVtpmK6du0qT7xNG3Tu3FmK+aO4uDi8+eab9TyyO/u5UN+sVwWImsOPF3SWToHuIsO9Orf4Pq153NFqtfDy8qrVR806Y0VTU45N1QaBI+f44Dzd/X48f9XSKZAVu3arZSY3Matoak2ioqJk3zTq9Xp4eHg0uL+/BffDtVuVTZEaEYQAMvIu43TxdRgEYKuAdAvC7XfM3n5bghCi1m0KNbE17QYhYDAI2Ngo8HDvLujv7gD5Dbh81oka7v4uHSydQqvXlGNTeztbJD4/pKlSo7tQWXk1UrLO40ZFNVRtbXH9VhUUCvx21UahQM2QooDp8cbUuHQ7Y+tMjW01bQbx25+rDAIGAXRUtcGtymoYhMAwz87wv98ZBit8IS9Zhz6uLTM2mVU0ubi4wNbWFkVF8rn0i4qKoFarjW6jVqtNxtf8t6ioCG5ubrIYX19fKeaPD/xWVVWhtLS0zv3a2dnBzs6u/gd3Bw/2cmmyvogA4HEftzsHEd3jrHncqWs/t+/jj5pybLJrY4ugAfwcIdMm+N1n6RSI7gpmzZ6nVCrh5+eHjIwMqc1gMCAjIwP+/v5Gt/H395fFA0B6eroU7+XlBbVaLYvR6/U4dOiQFOPv74+rV68iKytLivnmm29gMBig0WjMOQQiImpFrHnc8ff3x4EDB1BZWSnbT9++fY3emkdERK2YMFNycrKws7MTmzZtEj///LOYMWOGcHJyElqtVgghxJQpU8SCBQuk+P/+97+iTZs24r333hMnTpwQsbGxom3btuKnn36SYpYuXSqcnJzE559/Lo4dOyaeeuop4eXlJW7evCnFBAUFicGDB4tDhw6J7777TvTu3VuEhYXVO2+dTicACJ1OZ+4hExFRIzT289dax52rV68KV1dXMWXKFJGbmyuSk5OFvb29+OCDD1rs3BARUcOY+/lrdtEkhBDr1q0T3bt3F0qlUgwfPlx8//330rrRo0eLqVOnyuI/+eQT0adPH6FUKsUDDzwgvvzyS9l6g8EgFi1aJFxdXYWdnZ0YO3asyM/Pl8VcuXJFhIWFiQ4dOggHBwcxbdo0ce3atXrnzIGJiMgymuLz11rHnR9//FGMGjVK2NnZiW7duomlS5eadVwcm4iILMPcz1+z39PUWvFdGERElsHP37rx3BARWYa5n79mPdNERERERER0r2HRREREREREZAKLJiIiIiIiIhNYNBEREREREZnAoomIiIiIiMgEFk1EREREREQmtLF0Ai2lZmZ1vV5v4UyIiO4tNZ+798gbLszCsYmIyDLMHZvumaLp2rVrAAAPDw8LZ0JEdG+6du0aHB0dLZ2GVeHYRERkWfUdm+6Zl9saDAYUFhaiY8eOUCgUZm+v1+vh4eGB8+fP8wWEDcDz1zg8f43D89c4jT1/Qghcu3YN7u7usLHhXeG349hkWTx/jcPz1zg8f43T0mPTPXOlycbGBvfdd1+j+3FwcOBf7Ebg+Wscnr/G4flrnMacP15hMo5jk3Xg+Wscnr/G4flrnJYam/iVHxERERERkQksmoiIiIiIiExg0VRPdnZ2iI2NhZ2dnaVTaZV4/hqH569xeP4ah+fPevH/TePw/DUOz1/j8Pw1Tkufv3tmIggiIiIiIqKG4JUmIiIiIiIiE1g0ERERERERmcCiiYiIiIiIyAQWTURERERERCawaKqnhIQEeHp6QqVSQaPR4PDhw5ZOyeIWL14MhUIhW7y9vaX1t27dwsyZM+Hs7IwOHTpgwoQJKCoqkvVRUFCA4OBg2Nvbo2vXrpg3bx6qqqpa+lBaxIEDB/CnP/0J7u7uUCgUSE1Nla0XQiAmJgZubm5o164dAgICcPLkSVlMaWkpJk+eDAcHBzg5OSEiIgLXr1+XxRw7dgwPPfQQVCoVPDw8sHz58uY+tBZxp/P3wgsv1Pr7GBQUJIu5l89fXFwchg0bho4dO6Jr164ICQlBfn6+LKapfmf379+PIUOGwM7ODr169cKmTZua+/DuSRyXjOPYZB6OTY3DsalxWtXYJOiOkpOThVKpFElJSeL48eNi+vTpwsnJSRQVFVk6NYuKjY0VDzzwgLh06ZK0FBcXS+tfeukl4eHhITIyMsSRI0fEiBEjxMiRI6X1VVVVYsCAASIgIEDk5OSI3bt3CxcXFxEVFWWJw2l2u3fvFn/729/Ejh07BADx2WefydYvXbpUODo6itTUVPHjjz+K8ePHCy8vL3Hz5k0pJigoSAwaNEh8//334j//+Y/o1auXCAsLk9brdDrh6uoqJk+eLHJzc8W//vUv0a5dO/HBBx+01GE2mzudv6lTp4qgoCDZ38fS0lJZzL18/gIDA8XGjRtFbm6uOHr0qHjiiSdE9+7dxfXr16WYpvid/eWXX4S9vb2IjIwUP//8s1i3bp2wtbUVaWlpLXq8dzuOS3Xj2GQejk2Nw7GpcVrT2MSiqR6GDx8uZs6cKf1cXV0t3N3dRVxcnAWzsrzY2FgxaNAgo+uuXr0q2rZtK1JSUqS2EydOCAAiMzNTCPHbB42NjY3QarVSzPr164WDg4MoLy9v1twt7Y8frAaDQajVarFixQqp7erVq8LOzk7861//EkII8fPPPwsA4ocffpBivvrqK6FQKMTFixeFEEL8/e9/F506dZKdv/nz54u+ffs28xG1rLoGpqeeeqrObXj+5C5fviwAiG+//VYI0XS/s2+88YZ44IEHZPuaNGmSCAwMbO5DuqdwXKobx6aG49jUOBybGs+axybenncHFRUVyMrKQkBAgNRmY2ODgIAAZGZmWjAz63Dy5Em4u7vj/vvvx+TJk1FQUAAAyMrKQmVlpey8eXt7o3v37tJ5y8zMhI+PD1xdXaWYwMBA6PV6HD9+vGUPxMLOnDkDrVYrO1+Ojo7QaDSy8+Xk5IShQ4dKMQEBAbCxscGhQ4ekmIcffhhKpVKKCQwMRH5+Pn799dcWOhrL2b9/P7p27Yq+ffvi5ZdfxpUrV6R1PH9yOp0OANC5c2cATfc7m5mZKeujJoafl02H49KdcWxqGhybmgbHpvqz5rGJRdMdlJSUoLq6WvY/AgBcXV2h1WotlJV10Gg02LRpE9LS0rB+/XqcOXMGDz30EK5duwatVgulUgknJyfZNrefN61Wa/S81qy7l9Qcr6m/Z1qtFl27dpWtb9OmDTp37sxzCiAoKAgff/wxMjIysGzZMnz77bd4/PHHUV1dDYDn73YGgwGvvfYaHnzwQQwYMAAAmux3tq4YvV6PmzdvNsfh3HM4LpnGsanpcGxqPI5N9WftY1Mbs4+I6P97/PHHpT8PHDgQGo0GPXr0wCeffIJ27dpZMDO6F4WGhkp/9vHxwcCBA9GzZ0/s378fY8eOtWBm1mfmzJnIzc3Fd999Z+lUiJocxyayJhyb6s/axyZeaboDFxcX2Nra1pqlo6ioCGq12kJZWScnJyf06dMHp06dglqtRkVFBa5evSqLuf28qdVqo+e1Zt29pOZ4Tf09U6vVuHz5smx9VVUVSktLeU6NuP/+++Hi4oJTp04B4PmrMWvWLOzatQv79u3DfffdJ7U31e9sXTEODg78B2sT4bhkHo5NDcexqelxbDKuNYxNLJruQKlUws/PDxkZGVKbwWBARkYG/P39LZiZ9bl+/TpOnz4NNzc3+Pn5oW3btrLzlp+fj4KCAum8+fv746effpJ9WKSnp8PBwQH9+/dv8fwtycvLC2q1Wna+9Ho9Dh06JDtfV69eRVZWlhTzzTffwGAwQKPRSDEHDhxAZWWlFJOeno6+ffuiU6dOLXQ01uHChQu4cuUK3NzcAPD8CSEwa9YsfPbZZ/jmm2/g5eUlW99Uv7P+/v6yPmpi+HnZdDgumYdjU8NxbGp6HJvkWtXY1MDJLe4pycnJws7OTmzatEn8/PPPYsaMGcLJyUk2S8e96K9//avYv3+/OHPmjPjvf/8rAgIChIuLi7h8+bIQ4rcpIrt37y6++eYbceTIEeHv7y/8/f2l7WumiBw3bpw4evSoSEtLE126dLlrp3W9du2ayMnJETk5OQKAWLVqlcjJyRHnzp0TQvw2rauTk5P4/PPPxbFjx8RTTz1ldFrXwYMHi0OHDonvvvtO9O7dWzYt6dWrV4Wrq6uYMmWKyM3NFcnJycLe3v6umJbU1Pm7du2aeP3110VmZqY4c+aM2Lt3rxgyZIjo3bu3uHXrltTHvXz+Xn75ZeHo6Cj2798vm/r2xo0bUkxT/M7WTOs6b948ceLECZGQkMApx5sBx6W6cWwyD8emxuHY1DitaWxi0VRP69atE927dxdKpVIMHz5cfP/995ZOyeImTZok3NzchFKpFN26dROTJk0Sp06dktbfvHlTvPLKK6JTp07C3t5ePP300+LSpUuyPs6ePSsef/xx0a5dO+Hi4iL++te/isrKypY+lBaxb98+AaDWMnXqVCHEb1O7Llq0SLi6ugo7OzsxduxYkZ+fL+vjypUrIiwsTHTo0EE4ODiIadOmiWvXrslifvzxRzFq1ChhZ2cnunXrJpYuXdpSh9isTJ2/GzduiHHjxokuXbqItm3bih49eojp06fX+gfkvXz+jJ07AGLjxo1STFP9zu7bt0/4+voKpVIp7r//ftk+qOlwXDKOY5N5ODY1DsemxmlNY5Pi/ydMRERERERERvCZJiIiIiIiIhNYNBEREREREZnAoomIiIiIiMgEFk1EREREREQmsGgiIiIiIiIygUUTERERERGRCSyaiIiIiIiITGDRREREREREZAKLJiIiIiIiIhNYNBEREREREZnAoomIiIiIiMgEFk1EREREREQm/D8FDkudFxdjzAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "duts = [ (theCOM_6xs4p_pkg1, \"6xs4p_1\")\n",
    "       , (theCOM_6xs4p_pkg2, \"6xs4p_2\")\n",
    "       ]\n",
    "for dut, lbl in duts:\n",
    "    plt.figure(figsize=(10, 4))\n",
    "    plt.subplot(121)\n",
    "    plt.plot(dut.rslts['py0'])\n",
    "    plt.title(lbl + \" - Before Xtalk\")\n",
    "    plt.subplot(122)\n",
    "    plt.plot(dut.rslts['py1'])\n",
    "    plt.title(lbl + \" - After Xtalk\")\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1177d38d-df73-4c0f-bc0a-7a2869eda107",
   "metadata": {},
   "source": [
    "Well, that certainly appears reasonable.\n",
    "\n",
    "#### Aggressor Distributions\n",
    "\n",
    "Before moving on, I'll just plot each of the 5 aggressor distributions, for both package options, just for reference.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bfbf4eff-43e5-4af8-befe-df90a771dc6f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:25.652769Z",
     "iopub.status.busy": "2024-10-26T11:49:25.652405Z",
     "iopub.status.idle": "2024-10-26T11:49:26.365064Z",
     "shell.execute_reply": "2024-10-26T11:49:26.364051Z",
     "shell.execute_reply.started": "2024-10-26T11:49:25.652747Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dut, lbl in duts:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    for n in range(5):\n",
    "        plt.subplot(230 + n+1)\n",
    "        plt.plot(dut.pks[n])\n",
    "        plt.title(f\"{lbl} - $p^{{({n+1})}}$\")\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a841b9cf-ff2c-41e4-864c-0e9c3b8acf5a",
   "metadata": {},
   "source": [
    "That all looks pretty reasonable.\n",
    "\n",
    "**Question for Bob:** Do you have, or can you generate, similar plots, for comparison?\n",
    "\n",
    "#### Aggressor Pulse Responses\n",
    "\n",
    "Here are the actual aggressor \"thru\" path pulse responses, also just for reference.\n",
    "All plots have been given the same vertical and horizontal scales, to aid relative visual comparisons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "895c9ae7-bf10-45b7-a9b5-dfca7746a5f0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:26.366464Z",
     "iopub.status.busy": "2024-10-26T11:49:26.366128Z",
     "iopub.status.idle": "2024-10-26T11:49:27.259511Z",
     "shell.execute_reply": "2024-10-26T11:49:27.258465Z",
     "shell.execute_reply.started": "2024-10-26T11:49:26.366439Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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uLrKysmzPG41GzJs3Dzk5OQgKCkKvXr2wfv16h20QUW3MNSL3Y54ReYZsL3hrKXq9HlqtFjqdjn2jyGu0xuO6NcZE1Fyt8bhujTERNVdjjmuf6/NLRERERL6LxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPkFXxu3nzZowfPx5xcXGQJAlffPHFZdfZtGkT+vbtC7VajU6dOmHlypVuj5NI7phrRO7HPCPyDFkVv2VlZUhNTcXSpUudWv7kyZMYN24cRowYgczMTMydOxd33XUXfvjhBzdHSiRvzDUi92OeEXmGytMBNMbYsWMxduxYp5dftmwZOnTogJdffhkA0K1bN2zZsgWvvvoqRo8e7a4wiWSPuUbkfswzIs+QVctvY23btg2jRo1ymDd69Ghs27at3nUMBgP0er3DREQNY64RuV9T8gxgrhHV5NXFb15eHqKjox3mRUdHQ6/Xo6Kios51MjIyoNVqbVN8fHxLhEoka8w1IvdrSp4BzDWimry6+G2K+fPnQ6fT2abs7GxPh0TklZhrRC2DuUbkSFZ9fhsrJiYG+fn5DvPy8/Oh0WgQGBhY5zpqtRpqtbolwiPyGsw1IvdrSp4BzDWimry65Xfw4MHYsGGDw7x169Zh8ODBHoqIyDsx14jcj3lG5BqyKn5LS0uRmZmJzMxMAFXDvmRmZiIrKwtA1amdadOm2Za/7777cOLECTz88MM4dOgQ3nzzTXz88cd48MEHPRE+kWww14jcj3lG5CFCRjZu3CgA1JqmT58uhBBi+vTpYtiwYbXW6d27t/D39xdJSUlixYoVjdqnTqcTAIROp3PNiyBqBS53XDPXiFyjoePaE3l2uZjqU2E0ixVbTois82WN3h9RS2jMcS0JIUSLVtsyo9frodVqodPpoNFoPB0OkUu0xuO6NcZE1Fyt8bhuSkzPfncQyzefQLC/En8+OcbNERI1XmOOa1l1eyAiIqKW9+uxcwCAMqPFw5EQNR+LXyIiImqQJHk6AiLXYfFLREREDZLA6pe8B4tfIiIiahBbfsmbsPglIiKiBrH2JW/C4peIiIgaxqZf8iIsfomIiKhBCta+5EVY/BIREVGDWPuSN2HxS0RERA1S1Oj2YDBb8MBHf+CLP3I8FBFR07H4JSIiogbV7PL7/rbT+DLzLOauzvRIPETNweKXiIiIGiTVqH5zdZUeioSo+Vj8EhERUYNq9vk1WaweiYPIFVj8EhERUYNqdnsQwjNxELkCi18iIiJqUM3bG1tZ/ZKMsfglIiKiBilqVAssfUnOWPwSERFRg2q2/LLhl+SMxS8RERE1qPbdjVn9knyx+CUiIqIG1RzqjC2/JGcsfomIiKhBCo72QF6ExS8RERE1qGavB472QHLG4peIiIgaVKvbg4fiIHIFFr9ERETUoJotv/aPBVuBSWZY/BIREVGDarb82j+0svYlmWHxS0RERA2qOdSZ/bi/Zqu1haMhah7ZFb9Lly5FYmIiAgICkJaWhh07dtS77MqVKyFJksMUEBDQgtESyRdzjahlyCHXao724NDyy9qXZEZWxe/q1auRnp6OhQsXYvfu3UhNTcXo0aNRUFBQ7zoajQa5ubm26fTp0y0YMZE8MdeIWoZccq3mHd7si1+2/JLcyKr4feWVV3D33Xdj5syZ6N69O5YtW4agoCC8++679a4jSRJiYmJsU3R0dAtGTCRPzDWiliGXXFPUqhYuVb8WdvolmZFN8Ws0GrFr1y6MGjXKNk+hUGDUqFHYtm1bveuVlpaiffv2iI+Pxw033IA///yzwf0YDAbo9XqHiciXMNeIWoaccs2+5VcI4dDyy+KX5EY2xe+5c+dgsVhq/cKNjo5GXl5enet07doV7777Lr788kv873//g9VqxZAhQ3DmzJl695ORkQGtVmub4uPjXfo6iFo75hpRy5BVrtUY3cF+dDMWvyQ3sil+m2Lw4MGYNm0aevfujWHDhuHzzz9HZGQk/v3vf9e7zvz586HT6WxTdnZ2C0ZMJE/MNaKW4alcs+/xa7EKWO0KXjOLX5IZlacDcFZERASUSiXy8/Md5ufn5yMmJsapbfj5+aFPnz44duxYvcuo1Wqo1eomxymEwIc7sjGwQ1t0imrT5O0QeYpcco1I7uSUa/bj/BrMFqz+/VIBzZZfkhvZtPz6+/ujX79+2LBhg22e1WrFhg0bMHjwYKe2YbFYsG/fPsTGxrorTHy2OwePrdmHUa9sdts+iNxJLrlGJHdyyjX7oc5W/nrKMQYWvyQzsmn5BYD09HRMnz4d/fv3x8CBA7FkyRKUlZVh5syZAIBp06ahXbt2yMjIAAA8+eSTGDRoEDp16oTi4mK8+OKLOH36NO666y63xfjjn3X30yKSEznkGpE3kEuu2Xd7OJDreMEcuz2Q3DSp+M3KysLp06dRXl6OyMhI9OjRo0VOX06ePBmFhYVYsGAB8vLy0Lt3b6xdu9Z2sUBWVhYUduOxXLhwAXfffTfy8vLQtm1b9OvXD1u3bkX37t3dFiM/A8gbyCHXiLyBXHJNYdftwWh2HNfXKvjFR/IiCeHcUXvq1Cm89dZb+Oijj3DmzBnYr+bv74+rrroK99xzD26++WaHRJU7vV4PrVYLnU4HjUZz2eXvWLkTPx2qGpz81HPj3B0eUZM09rhuCa0xJqLmao3HdVNiSv84E5/vzgEAXNU5Ar8cPWd77ru/X4Xuca3jtZHvasxx7VSV+ve//x2pqak4efIknn76aRw4cAA6nQ5GoxF5eXn47rvvcOWVV2LBggXo1asXdu7c6ZIXIkf8BUzUMo7ml+Cvb23Fr8fOXX5hInKZml9z/N4juXGq20NwcDBOnDiB8PDwWs9FRUXhmmuuwTXXXIOFCxdi7dq1yM7OxoABA1werBzwM4CoZdz53u/IKirHbW9v51kWIndr4LuNfX5Jbpwqfqs72jtjzJgxTQ7GG/AXMFHLyCmu8HQIRD7D/rtN1KiELVZrzcWJWjWnO+f2798fy5Yt4y1IL4PFL1HL4PBKRC2noWyzsPYlmXG6+E1NTcXDDz+M2NhY3H777di0aZMbw5Iv/gAmIiJv09BvTTO/+EhmnC5+33nnHeTl5WHp0qXIzs7GyJEj0alTJzz77LPIyclxZ4yywpZfIiLyNvYjPEkOo/7yLAzJT6PGJAsKCsKMGTOwadMmHDlyBFOmTMG///1vJCYmYty4cfj888/dFadssPYlIiJvY//dVrvPL7/4SF6aPCBvx44d8fTTT+PUqVP48MMP8dtvv2HixImujE2W2PJLRETepmbBa4/FL8lNs25vvGnTJqxYsQKfffYZVCoV7r77blfFJVsWFr9ERORl7Lv11vya41BnJDeNLn7PnDmDlStXYuXKlThx4gSuuuoqvPnmm5g4cSICAwPdEaOs8DOAiIi8TUMtv1Z+8ZHMOF38fvzxx3j33XexYcMGREVFYfr06bjjjjvQqVMnd8YnP2z5JSIiL2Nf37Lll+TO6eJ36tSpGDduHNasWYPrr78eCkWTuwt7NXZ7ICIib9PQVxuvdSG5cbr4PXPmDKKiotwZi1fgcIdERORtRAN3eDNbWPySvDhd/NoXvmfPnsWWLVtQUFAAa41q7+9//7vropMh/gImIiJv0/Ad3vi9R/LS6AveVq5ciXvvvRf+/v4IDw+HJF0a7FqSJJ8vfln7EhGRt2moYYfd/UhuGl38PvHEE1iwYAHmz5/Pfr91YMsvERF5G/uvtpoNvRsPFWDvmWIs+EsPBPorWzYwoiZodPFbXl6OKVOmsPCth33xK4RwaBknIiKSI/vvNrPFsbvjjwfyAQDaQH88Oja5ReMiaopGV7B33nknPvnkE3fE4hVq/jr+77ZTGP/6FhSWGPD9vlw8+tleXCgzei5AIiKiZqivj++BXH0LR0LUNI1u+c3IyMBf/vIXrF27FikpKfDz83N4/pVXXnFZcHJk3/fJKgQWfPknAGDpxmP4Zm8uzpUaEBbsj4fH8NcxERHJg33Lr6me0R30FaaWCoeoWZpU/P7www/o2rUrANS64M3X2X9A2P861leYcK7UAADIvlDR4nEReSuVoupzx2oVMJitCPRXQgiBSpOV/Q+JXMR+YKf6Wn4zs4vx9Z6zGJ8a10JRETVNo4vfl19+Ge+++y5mzJjhhnDkz7HbQ90fELwVJJHrKC4Wv9Pe3YFDeXp8M+cqPPvdQWw4mI8N84YjRhvg4QiJ5M9+bF9TAwPaz/nwD6QlheHpbw7itrQEpCWFt0R4PuPtX06g0mTBrBGd2ODYDI3u86tWqzF06FB3xOIV7Atbk/nS30a7CwQ4IgRR89gPuK+8+AWw5dg5nCs14tNd2fhqz1mUGS34dl+up0Ik8ir2bTaXG9f3lR+P4Ks9ZzF5+W9ujsq3lBrMePrbg3jpxyM4Xljm6XBkrdHF7wMPPIDXX3/dHbF4Bft7nOsrTXZ/m21/c0BwouaxzyGF5PijM6e40vZ3m4BGn9wiorrYfW1d7o5uxwtL3RyMb8o6X277+2h+CbLOl+P9badgMFs8GJU8NfqbYceOHfjpp5/wzTffoEePHrUuePv8889dFpwc2de19sXv+Yv9fQGgwlR1oJYbzfBXKqBSctg4osawP5OiVEgoN1368D9WUGL7u8LILwUiV6jvepa6GO2K40c+3YuE8CDMGtHJbbH5iqyiS8VvUbkRj3+5H5uPFEKhkHBbWnsPRiY/ja66QkNDcdNNN2HYsGGIiIiAVqt1mNxt6dKlSExMREBAANLS0rBjx44Gl//kk0+QnJyMgIAApKSk4LvvvnNrfBa7vlD6ikutvXm6S61RJZVmZBeVo//T6zHl4mmhI/klOJTHYWKo9WjNuWYwXcozP6UC177ys+3xabvWEd3Fq89LKk21xiYlai1ac65Vsy93zQ30+QWAPdnFtr9X/56NF3847J6gfEy2XfFbXG7C5iOFAIDPdp1BxncHcdd7v6PMYK5vdbLT6JbfFStWuCMOp6xevRrp6elYtmwZ0tLSsGTJEowePRqHDx9GVFRUreW3bt2KW265xTY826pVq3DjjTdi9+7d6Nmzp1titD8d5NDyaze2b0mlCT8eyEe50YLfT1/A0fwSjP3XL1CrFNj66DUIDfJv0r7LDGYE+SvZCZ6arbXnWqXdab7iCpNDS1RByaWzLPoKE47kl+D6f/0Cs1WgW6wGSkXVhamf/20Icosr8e/NxzFzaAd0iW7j1L4tVoHfTpxHz3ZaaAP9Lr8CUQNae65Vc7jJRRO67n2/LxdjU2Jtj0+fL8OS9UcxPjUWw7pEQalo+Hur3GhGoN+l7zerVeB0UTkSw4O8/jvvp0P5iNYEOLT8FpdfqikKSw349+YTAIDVO7Nxx5UdWjxGuZGEkM/VV2lpaRgwYADeeOMNAIDVakV8fDzmzJmDRx99tNbykydPRllZGb755hvbvEGDBqF3795YtmyZU/vU6/XQarXQ6XTQaDSXXb7r49/DYK76VfziX3vhH5/urbVMVBs1BncMx5eZZwEAUwbE46Od2QCAJZN7o0NEMO773y6M7hGDa5KjsOFgPkb3jMHgpHBYBVBUZkSbABUC/JTYd0aHiDb++Hx3Dl784TB6ttPgH6OTseirP6EJUOGpG3ui1xWh+OVoIcwWgRHJUTCaragwWWxf3HK7E50QAh9sz0KAnxI3922HzOxizP98Hyb2j8edV3aAvtKEo/ml6BMfiu/25+LJrw/g/uEdMXOo4wfC8cJSWK0CnZ0seuqKQ4hLow0UlhgQrFYiyF8Fi1XAKgT8WmmXlssd1609106dK8PwlzZddptXdY7AL0fP1fncl7OG4sUfDmPLsXMY0jEcc67pjJ8O5WPa4ETEagNgFUBBSSUO5ZbgmuQolBjMqDBa8O6vJ7F88wn0jg/F0zf2xPNrDwEAXpvSB0qlhDd+OobusRrc0DsO+gozlEoJIWoVTBYrVApJdrlmFbAVJpUmC3J1legQEVxr2UN5euw7o8PYlFiEqB3bVXaeKkLW+XL8JTUWapXj8HOVF7usBPg5PyydvtKEAJUS/qrWmV/25J5rAHCisBS3vb0duRfPYIaoVShtQgvjlZ0iEBHij1Pny1FYYkBO8aVhPz+7fzAOnNXjiS//xPCukXjouqrhVHu202LX6SJMWf4bxveKw1M39sQXmTl4b+spHMkvxbxru2DOyM6wWAXWH8xH+/AgdIgIrnWcyUGlyYINBwvw/f5cnD5fjruvTkK70EDc/NZW+Ckl9IjTIvNiq/pNfdvh8905tbZxdZdIvDwxFUqFBKsQCPZX4bE1+1BqMOOZG3uixGDGd3tzcfvg9tAG+uF4YSkiQtR1NrqZLFYoJQl7zhTjP7+cwPhecRibEou9Z4pxrKAUI5OjoQ1qPQ0AjTmunSp+x4wZg0WLFmHQoEENLldSUoI333wTISEhmDVrVuOivgyj0YigoCB8+umnuPHGG23zp0+fjuLiYnz55Ze11klISEB6ejrmzp1rm7dw4UJ88cUX2LNnT537MRgMMBjsWo70esTHx9f7Zj7w0R84db4cJRUmlBjMKLRrdZo7qjOWrD9aa51APyXaBvnhrF1XiGpjesSg1GDGlmO1v7DjwwKRXVT1YaGQat9fvS7RGjVMFoGiiy3PfsqqLzGTpaoV7FypAUVlRgT5K9E+PAh+SgWEqCrQs4rKYbJYEaJWQaGQEBroh6JyEzQBqouJdakAtAoBk8XqVEyNUf3lKwAopapTPYUlBpRc/OCdO6ozvtmbi2MFVRdYPD6uG97cdBxFZUZ0iAjGyXOXroidOTQRa/fnoU2ACsFqFf7IKgYAjO4RDasA8vWVUCkkaAL9sCe7GEqFAl2iQ3D6fDlC1CrEhQZAV2FChckKk8WKc6UGVBgtmHBxTMtPdp2BJkCFUd2isfFwAfSVZrQPC0JCeBCEqLpSVylJEBAoqTRDE+CHAH8lLFYrLFYBi1XAbBW2i7eE7T2wez8uzq2eZ/+cn0oBbaAf/BQSzpcZUW4048cHh9X5vjb0IdEac81iFfjrsq3wUyqgVilw+ny5QyuIu6kUUp2tXf4qBYwXf+xOGRCPnOKKOovtlHZanC2ugEBVbqmUEipNVqgv/p9lFZVDrVIgPEQNIQT8VQqYLVU/ngxmC86XGhGtCYBKKdnyrHpcY7VKAbWfAiazgNlqhUDVcVEdrVKq6hpSK3pRdfraZKnK3eofxSqlBD+lAiaLFWcuVEAIoF/7tri6cyS+yMzByXNlGJkcBYVCwp85OpQZLegUFYI92cUwW4Xtx/2mw4WI1qiREBaE9QcLAADdYjWI0wYgV1eJHnEa6CtN2HioEFYh0Ds+FG2D/WGxCqgUEowWK06fL0eBvhImi0BsaADG9IhBYakBn+/OQViwPzpFhSDrfDkMZgui2gSgfXgQsorKYTBboVRIUCkkh3+VCglCVN2MyCqq/l+rPxOrSZAgSaiaLv4NVI1jL6F6PqBSKmC2WFFUbkK70AC8eVu/Oo8dueXaicJSpH+8B2qVAgF+SpwrNeDPs45d8gL8FKg0eaYbURu1yvb535DhXSORp6uEJsAPZy6U24Y8LDdaoFYpoFBIMJqrPnslSUKbABUMJsvF40UBSLAdN2aLsN3AqvpoqT4urNaqmZeODQmKi2eXzBc/1y1WYfsBKYSolaOBfgqcLa5s1Gdan4RQ23dYTfY/Tuw/o5IigqGrMOF8mRF9E0KRGB6Mz//IgZ9SQrQmAH5KBcqNZsSFBqJ7rAZfZp5FmdHs8D3Ts50G+3Oqjoc2ASpc3aXqfbYKga7RbbD3jA5nLpQjOVYDCcC5UgPiw4KgUkgoM1hgtFhhtlhtn6eKi2+kQNXnnZ/i4g/ai++vEAI5FyqgCfTDwA5h6JvQFjf2aVfn625M8etUt4eJEyfi5ptvhlarxfjx49G/f3/ExcUhICAAFy5cwIEDB7BlyxZ89913GDduHF588UVnNtso586dg8ViQXR0tMP86OhoHDp0qM518vLy6lw+Ly+v3v1kZGRg8eLFTse1P0dX75AjdRW+QNUFbxW6ui/EWftn/bFVF76Ac4UvAOTrDQ6P7e/Mc9DuVpQllWbbAS0nNd/jp789aPvbvvAFgBW/ngIA5Ooct/HDn/n1bv+c3YWKh/NL6lzmk11nbH/rK834/I9Lv8ZPnCvDiXOeG5Kmwmhp9I0eWmOuGc3Wej/oW0J9p3mrv1QA2M7e1GVfzqWDrqiB25s3NHyRJ4+jXacvYNfpC7bHGw4V1Hq+WkGJwXZWS1dhwpH8S1f+H8zV2z53at4K93e7bdTl9Ply26ldoOp93HGyyPb4Qrmp3hx1N115UJPWa425pq8021oX63O50R7cyZnCFwA2HS50eFxXY5OcHcuvf0QN+1Z5+88o+8+Q3VnF2H3xM9VkEThjd/OtfL2h3s9b+zqhpNKMb/deGk7Sfh373HTFsGxndZU4lFeCC+WmeovfxnCq+L3zzjsxdepUfPLJJ1i9ejWWL18Ona7qw1ySJHTv3h2jR4/Gzp070a1bt2YH5Unz589Henq67XH1L+T6PD6uO8xWAW2gH/7x6R6Hi20uJ0YTgKGdIvDZ7qriaUjHcGw9fh4AMKxLJH47cR4mixX/mtIHhSUGfP7HGcRoAjB9SCK2HDuHnw8X4om/dMcXf+Tgi8wcDOsSaWth6RIdgtQrQm2F2ZLJvaFWKfDJrjP4a78r0C1Wg6e+OQCFJOHmvu0gAOTqKmGyWHFF20AUlRkRowlAoL8SFUYLKkwWGExWaIP8bLewVEhVv3Crf7n5KxW2LgCuVL19i9UKTYAfCkoM0Ab54efDhVi59RQiQvwxc2gHvPzjYVgFcOeVHXB9Size2nQc4cH+mDwwHg9/uhfF5UbcPigRkW3U8FNKGJQUjrPFFfh671nEtw1Cp6gQGM1WnC8zomtMG1itAn+e1aP9xZbb/JJKhAerEeivhL9SgTYBKugrTfh6z1lcKDNhysB4HMjV4/t9eRifGotxveJwsrAMZy6UQ6moOvVdXUOFBKhQWmlG5cWWNoVU1TqlUEhQSvatTRf/he0P2z/Vp88lVLUgGM1W6CpMMJqtCA/xR0RIVQtja9WYXFMpJSy/vR+MlqpW9wdX193C1Rz+SgX+Pa0f/r7qD1iFwITecdh7RoehnSKgkCQM7hiOV9cdwd4zxUiO0diKtzuGdsCJc6XYdLgQwf5KvHFbX6z89RSKy414eVJv6CtNWLU9CxEhanSP0yDQT4mT50oR1SYAbQJUOHmuDGHB/ggL9kdRmdHWQqSQJFisAgqFhIgQfxToDRAQUCkUVbknAWo/BQwmKwxmK/yUCtv/d/XxIaGqcDdbrQ6tmLb3VVHVyls1SQj0V8JsFTCaq7poxIUGoqTSjM92n8HmI4XoEadFRIg/DueXIDE8GMFqJS6Um1CgN+DOKzugT0IoVm49hf05OgzvGoV8fSXKDGZ0j9OgU1QIvt2bi6g2amiD/PHnWR3aqFUYkRwFTYDfxc+7S62+fkoJV7QNQlxoIPyUEvae0eH7/Xkwmi2YObQD8nSV2HS4AON6xaF9eBBOnitDvr4S8W2DEBKgqmqtu/jarULYHgNVXZWq31/TxQshJelSa1z1CdGqx1Vnt2o+Z7zYjSUsWI3INmqXH4+u1Jhc6xAejOW394PBbEWpwYyPf8+uVQhV/xj0U0r13urY1ar/f4CqLhL7c/RQKiQcyS/Bf7edBgDc1KcdQgKquhh9ty8PnaNCcFPfKxAbGoDzpUaEqJWovHjmrrpbmlqlRKC/AmUGCwL9lLDYncWsOvMooFQooLp41sD+7JuA3R0mL54FtT9GVAqF7YzDpYvhJdvZg+oczSmuwO6sCwgPVqPCZMbYnrFYuvEYttsVkDXfh7p+BPRv39b2I/KqzhHYcbIIBrMV7UID8catfTBz5U6UVJpxx9BEbD1+HqFBfrjzyg7Yk63DsYJSXNE2EN3jNDheUIo/sosxuGM4ss6XI6e4Ahk3pSDnQgUWf30AbYP9sPTWvthxsgg7TxWhQ0QI/FUKnCgsRaeoEHSJboNDeSWQAISH+CNfXwmrAIL8lVCrlPBTSpdawquDF1U5ZbUKh7OekgS0DfJHQUklDuaWIDmmad0Ua3L6gje1Wo2pU6di6tSpAACdToeKigqEh4fXGu7MHSIiIqBUKpGf79hKl5+fj5iYmDrXiYmJadTyQNXrVKud/yAbkXzpgoQRXaOwcuupWsvMGJJY5/yEsCA88389kRAWhBitGpMHJODAWT2yL5RjeNdInDxXBiGqThUCcOjEflXnSMwfW/VDY2inCDzzfymwCoHrX/sFhSUGzL++GwYnhWN0jxhEawKQckXVSBz2Fxy8O2OA06+zNRreJRL/16cdkiKD0SbAD8O7RkKpkJAcU/V+vT29v23Z9el1n/6PDwtq8A5EztydaEjHiEsxdY3C34ZfGtKnXWjgZddvbVpjrvkpFbiux6VtfZV5FhtrtOw0pFNUCI4XliLYX4XZ13TChNQ4nD5fjsVf/4lHxiajQ3gwLEKgY2QIdj4+CkKgzhbzoR3DUWa0oNRgxl/fquqGcc/VSQhWK/HVnrMYnBSOpMgQjOjqeKFS34S2NbYUDTl57PpueOx65xo27hvWsd7nqnMTgK27ULX4sIZbT69oG4Tr7T6/ADi0ADl7wWJr0hpzTRvk55BrtwxMwPAXN+JUHQ07KoUCJovzwwle1z0a4SFqzBrREau2Z+E/v5xAfNsgzL++G67tHg2zxYoygwXrDuZjWJdIrDuQjw0H8/HypFQE+Cnx9i8nkJYUjn7tw9CvfZhtuzf1vQL6ChOu7hJpm5dxUy+n42oNpg9JdHjcr31b7M/R4d7/7UKlyWLrZjI46VIjmb2u0W1w11UdbMXvP8d1g67chGU/H8fDY5LRLVaDTQ8NR0mluVauXZPs3OfRFW2D8N0DV9keX9cjxuFYsdeznetH/7qht+u2JbsL3gYOHGi7yYbVakVCQgJmz55d74UB5eXl+Prrr23zhgwZgl69ernlwoC3fznhcNodAO69Ogkdo0LwcB0Xvg3rEon37hjoVBzOslgFJMAtLbDkPZy5CKc159rxwlLM+mA3DuU5d5p77dyr0DW6jUsvNrPatSIS1UfuuQYA1736s0P3lWptAlQoqbx8N4QxPWLQP7Etpg5q36gLG6mqC4OfUsKIFzfhrK4Sb97WF3/7YLfteUmqqiX+eX03dIwMwZL1RxAeoq5VTPsCl/f5bS3S09Mxffp09O/fHwMHDsSSJUtQVlaGmTNnAgCmTZuGdu3aISMjA0DV3eiGDRuGl19+GePGjcNHH32E33//HcuXL3dLfHX90gkL9kdESN1Dl4XXM785LjdcDJEzWnuudYwMwQd3paHf0+tt8+aO6oyru0Tipje3Oiy7aHx3hxZHV2HRS67Q2nMNuNT1rCZnRrO5ZWC87FphW5PqkVOWT+uPk+fKMLZnDD64Kw23vb0dAHDP1Um2s8AAkH5xlAxqmKyK38mTJ6OwsBALFixAXl4eevfujbVr19o6/2dlZUGhuJSMQ4YMwapVq/D444/jscceQ+fOnfHFF1+4bSzEtA5heGBkZ/xrw6WLsNoG+yMyJMD2OOOmFOw4WYR9OTrM40FKrVRrzzWg6pSrvY6RIeib0BabHhqOSrMFY5b8AgD4v75XuC0GouaSRa7Vc+1AzZEy7C2b2hdr9+c53V2GGtazndbWwDbIrjteG7WsyrhWQ1bdHjyhsaeHAGDgM+ttA+3/Z1p/9LpCi7RnNwAAvpo9FL2uCHVXuEROacpx7W6Njamk0oSURT/aHu9ZeJ3DTSe2X7yA6srOEXWtTtQivCHXblj6q8Nd26q1Cw20jdVbc+itU8+Nc1W4VIcnvtiPnw4V4KN7Bl22v7yv8NpuD3Jh3/Ug0E+JaE0A5o7qDF2FCT3j3H8LaCJfULPlt+bd1py5WJGILk9VTxcf+5bfOG0g/kBxC0VET93YE095OggZa1bxazAYGjUygq+w7x+l9qv6gp47qounwiHySuzfTtQy7HPN/iYTKrs+v4H+SozqFoX1BwswsR+7GlHr1qh7Q37//feYPn06kpKS4Ofnh6CgIGg0GgwbNgzPPPMMzp496644ZcW+QUotg9tvEsmR/RcyC2Ei97Fv+bXv/2t/wVuQvxLP39wLf7+mE/4+snOLxkfUWE5VZmvWrEGXLl1wxx13QKVS4ZFHHsHnn3+OH374AW+//TaGDRuG9evXIykpCffddx8KC50ff9MbKe1bfmV4f3EiObCvd1n8ErmP0qH4vVQ22Hd7CPRXIjxEjfTrurIPKrV6TnV7eOGFF/Dqq69i7NixDledVps0aRIAICcnB6+//jr+97//4cEHH3RtpDJiPwQSW36J3MN+zF4/Fr9EbmPf8mufa/bzg/x4CRHJh1NH67Zt25zaWLt27fDcc881KyBvUFefXyJyH5UT440SUdMo7Rq97HNNVaPbA5FcNPob48knn0R5ee3bHFZUVODJJ590SVByZ98GxW4PRO5X39XoRNR89fX5DbS7W1tdtwMnaq0aXfwuXrwYpaW1b3NYXl6OxYsXuyQouTNbLw2dzG4PRO5X3yD8RNR8SvuL3BR1t/YG8rbFJCONrsyEEA597art2bMHYWFhLglK7oxmq+1vFr9E7ldzzF8icp16W37tit9g3mmMZMTpo7Vt27aQJAmSJKFLly4OBbDFYkFpaSnuu+8+twQpN2brpeKXfRGJ3I8tv0TuU99oD0EOxS9bfkk+nC5+lyxZAiEE7rjjDixevBha7aU7lfn7+yMxMRGDBw92S5ByY7bwjtFELYl9foncR1nPyCpB/qo6/yZq7Zw+WqdPnw4A6NChA4YOHQqVigd6fUwW6+UXIiKXYbcHIvexP7NS3wVvHO2B5MSpb4yysjLb38OGDbts4Wu/vC8yseWXqEXxJhdE7mOfX/Z3dbPv6uDP61tIRpw6Wjt16oTnnnsOubm59S4jhMC6deswduxYvPbaay4LUI7s+/wSkfv5sc8vkdvYn1mx72IUaNfVIZjdHkhGnDpaN23ahMceewyLFi1Camoq+vfvj7i4OAQEBODChQs4cOAAtm3bBpVKhfnz5+Pee+91d9ytGlt+iVoWLywlch/7ll/7G16olQo8Pq4bygwWxGgDPBEaUZM4Vfx27doVn332GbKysvDJJ5/gl19+wdatW1FRUYGIiAj06dMH//nPfzB27Fgolez3Q0Qti90eiNzHsfi1e0IC7roqqeUDImqmRp2nSEhIwLx58zBv3jx3xUNE1GiRbdSeDoHIaynsRnuw7wKhqGPMfyI5aNa5QiEEhOApfiLyjL8N7wgAuHVggocjIfJe9q29CrtWYJa+JFdNKn7feecd9OzZEwEBAQgICEDPnj3x9ttvuzo2IqIGPTwmGXsXXYehnSI8HQqR11I6tPxe+psjDJJcNfryzAULFuCVV17BnDlzbDe12LZtGx588EFkZWXhySefdHmQRET10QT4eToEIq9m39pr39VBYtsvyVSji9+33noL//nPf3DLLbfY5k2YMAG9evXCnDlzWPwSERF5kfpaftnll+Sq0SctTCYT+vfvX2t+v379YDabXRKU3E0ZEA8AGJ8a5+FIiIiImseh5deh+GX1S/LU6OL39ttvx1tvvVVr/vLly3Hbbbe5JCi5S7+2C16emIoX/9rL06EQERE1i31rr0OfX9a+JFNNuiXLO++8gx9//BGDBg0CAGzfvh1ZWVmYNm0a0tPTbcu98sorrolSZqI0Abi53xWeDoOIiKjZHMf5ZZ9fkr9Gt/zu378fffv2RWRkJI4fP47jx48jIiICffv2xf79+/HHH3/gjz/+QGZmpksDLSoqwm233QaNRoPQ0FDceeedKC0tbXCd4cOHQ5Ikh+m+++5zaVxE3oa5RtQy5JJr9he5KdnyS16g0S2/GzdudEccl3XbbbchNzcX69atg8lkwsyZM3HPPfdg1apVDa539913O1yEFxQU5O5QiWSNuUbUMuSSa/W2/LL4JZlqUreHlnbw4EGsXbsWO3futF1s9/rrr+P666/HSy+9hLi4+i8sCwoKQkxMTEuFSiRrzDWiliGnXFPUW/yy+iV5ksUQ1du2bUNoaKjDKBOjRo2CQqHA9u3bG1z3gw8+QEREBHr27In58+ejvLy8weUNBgP0er3DROQrmGtELUNOuWY/1JlS4h3eSP5k0fKbl5eHqKgoh3kqlQphYWHIy8urd71bb70V7du3R1xcHPbu3YtHHnkEhw8fxueff17vOhkZGVi8eLHLYieSE+YaUcuQU67Vd3tjBVt+SaY8Wvw++uijeP755xtc5uDBg03e/j333GP7OyUlBbGxsRg5ciSOHz+Ojh071rnO/PnzHUas0Ov1iI+Pb3IMRK1Bfbmm1WptfzPXiJrP23PNX8k+vyR/Hi1+582bhxkzZjS4TFJSEmJiYlBQUOAw32w2o6ioqFH9ntLS0gAAx44dq/dDQq1WQ61WO71NIjmomWulpaUYMGAAdu7ciZCQEADMNSJX8MZcE+LS3352zcBs+SW58mjxGxkZicjIyMsuN3jwYBQXF2PXrl3o168fAOCnn36C1Wq1Jb4zqodfi42NbVK8RHJVM9eq+/x16dIFGo3GNp+5RtQ83phrdrWvQ/HLTr8kV7K44K1bt24YM2YM7r77buzYsQO//vorZs+ejSlTptiuiM3JyUFycjJ27NgBADh+/Dieeuop7Nq1C6dOncJXX32FadOm4eqrr0avXrzzGlFdmGtELUNOuebQ8qtiyy/JnyyKX6Dq6tbk5GSMHDkS119/Pa688kosX77c9rzJZMLhw4dtV736+/tj/fr1uO6665CcnIx58+bh5ptvxtdff+2pl0AkC8w1opYhl1wTdm2/Dn1+3bpXIveRxWgPABAWFtbgwN+JiYkQdj9P4+Pj8fPPP7dEaERehblG1DLkkmv2Lb9KBVt+Sf5k0/JLRERELc++z69Dl1/WviRTLH6JiIjIKfatvSx+Sa5Y/BIREVH97Po9SA53eGP1S/LE4peIiIjqZd/twe4Gbw5/E8kJi18iIiKql/0Fb47dHlj9kjyx+CUiIqJ62Y84wZZf8gYsfomIiKheVruWX4ktv+QFWPwSERFRvXq209r+5mgP5A1kc5MLIiIiankDO4Rh+e39kBQZgtPny2zzeZMLkisWv0RERNSg63rEAACyi8pt81j6klyx2wMRERE5xb6xlw2/JFcsfomIiMgp9l0d2O2B5IrFLxERETnFvuBVcqwzkikWv0REROQU+3qXxS/JFYtfIiIicorEbg/kBVj8EhERkVPY8kvegMUvEREROUVhV/Aq2fJLMsXil4iIiJziMNoDKwiSKR66RERE5BR2eyBvwOKXiIiInMJxfskbsPglIiIip9jXuyx+Sa5Y/BIREVGjsdsDyRWLXyIiInKKEJf+5mgPJFcsfomIiMgpdrUvR3sg2ZLNofvMM89gyJAhCAoKQmhoqFPrCCGwYMECxMbGIjAwEKNGjcLRo0fdGyiRzDHXiFqGHHNN2DX9stsDyZVsil+j0YiJEyfi/vvvd3qdF154Aa+99hqWLVuG7du3Izg4GKNHj0ZlZaUbIyWSN+YaUcuQY645tPyy2wPJlZCZFStWCK1We9nlrFariImJES+++KJtXnFxsVCr1eLDDz90en86nU4AEDqdrinhErVKzhzXzDWi5vO2XPv9VJFo/8g3ov0j3wij2dLo9YncpTHHtWxafhvr5MmTyMvLw6hRo2zztFot0tLSsG3btnrXMxgM0Ov1DhMR1Y+5RtQyWkeu2XV7YMsvyZTXFr95eXkAgOjoaIf50dHRtufqkpGRAa1Wa5vi4+PdGieR3DHXiFpGa8g1q12/BwX7/JJMebT4ffTRRyFJUoPToUOHWjSm+fPnQ6fT2abs7OwW3T+RO9TMNa1WC6Cq1Yi5RuQ63p5rLHfJG6g8ufN58+ZhxowZDS6TlJTUpG3HxMQAAPLz8xEbG2ubn5+fj969e9e7nlqthlqtbtI+iVqrmrlWWlqKAQMGYOfOnQgJCQHAXCNyBW/PtT4JbXFV5wh0iAh2yfaIPMGjxW9kZCQiIyPdsu0OHTogJiYGGzZssH0o6PV6bN++vVFX1hJ5g5q5Vt3nr0uXLtBoNM3aNnON6BJvzzWlQsL7d6a1yL6I3EU2fX6zsrKQmZmJrKwsWCwWZGZmIjMzE6WlpbZlkpOTsWbNGgCAJEmYO3cunn76aXz11VfYt28fpk2bhri4ONx4440eehVErR9zjahlMNeIPMOjLb+NsWDBArz33nu2x3369AEAbNy4EcOHDwcAHD58GDqdzrbMww8/jLKyMtxzzz0oLi7GlVdeibVr1yIgIKBFYyeSE+YaUctgrhF5hiSE/Z26qSa9Xg+tVgudTtfsU1ZErUVrPK5bY0xEzdUaj+vWGBNRczXmuJZNtwciIiIiouZi8UtEREREPoPFLxERERH5DBa/REREROQzWPwSERERkc9g8UtEREREPoPFLxERERH5DBa/REREROQzWPwSERERkc9g8UtEREREPoPFLxERERH5DBa/REREROQzWPwSERERkc9g8UtEREREPoPFLxERERH5DBa/REREROQzWPwSERERkc9g8UtEREREPoPFLxERERH5DBa/REREROQzWPwSERERkc9g8UtEREREPoPFLxERERH5DBa/REREROQzZFP8PvPMMxgyZAiCgoIQGhrq1DozZsyAJEkO05gxY9wbKJHMMdeIWgZzjcgzVJ4OwFlGoxETJ07E4MGD8c477zi93pgxY7BixQrbY7Va7Y7wiLwGc42oZTDXiDxDNsXv4sWLAQArV65s1HpqtRoxMTFuiIjIOzHXiFoGc43IM2RT/DbVpk2bEBUVhbZt2+Kaa67B008/jfDw8HqXNxgMMBgMtsc6nQ4AoNfr3R4rUUupPp6FEC7bJnONqDbmGlHLaFSuCZlZsWKF0Gq1Ti374Ycfii+//FLs3btXrFmzRnTr1k0MGDBAmM3metdZuHChAMCJk09M2dnZzDVOnFpgYq5x4tQyU0O5Vk0SwoU/Rxvp0UcfxfPPP9/gMgcPHkRycrLt8cqVKzF37lwUFxc3en8nTpxAx44dsX79eowcObLOZWr+QrZarSgqKkJ4eDgkSaq1vF6vR3x8PLKzs6HRaBodE13C99J1ar6XCxcuxJIlSxpch7nmO/heug5zjRrC99J1LvdeCiFQUlKCuLg4KBQNj+fg0W4P8+bNw4wZMxpcJikpyWX7S0pKQkREBI4dO1bvh4Rara518YAzV+FqNBoe2C7C99J1qt/Lxx57DPfee2+DyzLXfA/fS9dhrlFD+F66TkPvpVardWobHi1+IyMjERkZ2WL7O3PmDM6fP4/Y2NgW2ydRa8BcI2oZzDWi1k824/xmZWUhMzMTWVlZsFgsyMzMRGZmJkpLS23LJCcnY82aNQCA0tJS/OMf/8Bvv/2GU6dOYcOGDbjhhhvQqVMnjB492lMvg6jVY64RtQzmGpGHONXDvhWYPn16nR2bN27caFsGgFixYoUQQojy8nJx3XXXicjISOHn5yfat28v7r77bpGXl+fSuCorK8XChQtFZWWlS7fri/heuk5z3kvmmvfje+k6zDVqCN9L13Hle+nRC96IiIiIiFqSbLo9EBERERE1F4tfIiIiIvIZLH6JiIiIyGew+CUiIiIin8Hit5mWLl2KxMREBAQEIC0tDTt27PB0SLKzaNEiSJLkMNnf/Yjqt3nzZowfPx5xcXGQJAlffPGFw/NCCCxYsACxsbEIDAzEqFGjcPToUc8E20zMteZjrjWdr+Qa86z5mGdN11J5xuK3GVavXo309HQsXLgQu3fvRmpqKkaPHo2CggJPhyY7PXr0QG5urm3asmWLp0OShbKyMqSmpmLp0qV1Pv/CCy/gtddew7Jly7B9+3YEBwdj9OjRqKysbOFIm4e55jrMtabxhVxjnrkO86xpWizPmj1Ymg8bOHCgmDVrlu2xxWIRcXFxIiMjw4NRyc/ChQtFamqqp8OQPQBizZo1tsdWq1XExMSIF1980TavuLhYqNVq8eGHH3ogwqZjrrkGc801vDXXmGeuwTxzDXfmGVt+m8hoNGLXrl0YNWqUbZ5CocCoUaOwbds2D0YmT0ePHkVcXBySkpJw2223ISsry9Mhyd7JkyeRl5fncIxqtVqkpaXJ6hhlrrkWc831vCHXmGeuxTxzPVfmGYvfJjp37hwsFguio6Md5kdHRyMvL89DUclTWloaVq5cibVr1+Ktt97CyZMncdVVV6GkpMTTocla9XEo92OUueY6zDX38IZcY565DvPMPVyZZyqXRUXURGPHjrX93atXL6SlpaF9+/b4+OOPceedd3owMiLvwlwjcj/mWevHlt8mioiIgFKpRH5+vsP8/Px8xMTEeCgq7xAaGoouXbrg2LFjng5F1qqPQ7kfo8w192GuuYY35BrzzH2YZ67hyjxj8dtE/v7+6NevHzZs2GCbZ7VasWHDBgwePNiDkclfaWkpjh8/jtjYWE+H0qA5c+bggw8+aHAZs9mMlJSUWsnaEjp06ICYmBiHY1Sv12P79u2yOkaZa+7DXHMNb8g15pn7yCXPWjuX5pmrrsrzRR999JFQq9Vi5cqV4sCBA+Kee+4RoaGhIi8vz9Ohycq8efPEpk2bxMmTJ8Wvv/4qRo0aJSIiIkRBQYGnQ6vX2bNnRVJSkjCbzQ7zt27dKiRJEk899ZRt3quvvirS09PdEkdJSYn4448/xB9//CEAiFdeeUX88ccf4vTp00IIIZ577jkRGhoqvvzyS7F3715xww03iA4dOoiKigq3xOMuzDXX8IZcGzZsmFCr1SI4OFgEBweLMWPG2JZlrjUP88w15JhnrUVL5RmL32Z6/fXXRUJCgvD39xcDBw4Uv/32m6dDkp3JkyeL2NhY4e/vL9q1aycmT54sjh075umwGvT888+LBx980GGexWIRaWlpYuDAgQ7Fb25uroiMjBRGo9HlcWzcuFEAqDVNnz5dCFE1NMwTTzwhoqOjhVqtFiNHjhSHDx92eRwtgbnWfN6Qa8OGDRPvv/9+ncsy15qPedZ8csyz1qKl8kwSQohmtUMT+aBrrrkGc+bMwf/93//Z5i1btgwHDx6ETqdDp06d8Pjjj9ue69q1K1auXMnTh0SNVDPXhg8fjrvuugtTp06tc3nmGhFdDvv8ytju3bsxYcIEhIWFISgoCD179sRrr73WIvt+5plnIEkSevbs6bZ97Ny5E7Nnz0aPHj0QHByMhIQETJo0CUeOHHHbPp21b98+dO7c2fb4/PnzWLJkCRYvXlzn8snJydi7d29LhUcuxlzznJq5BgAPPvggIiMjce2119bKK+YaEV0OhzqTqR9//BHjx49Hnz598MQTTyAkJATHjx/HmTNn3L7vM2fO4Nlnn0VwcLBb9/P888/j119/xcSJE9GrVy/k5eXhjTfeQN++ffHbb7+5tRi4nOLiYoSEhNge//Of/8TcuXMRGhpa5/Jt2rSBTqdroejIlZhrrSvXXnjhBXTv3h1KpRKvv/46xo4di0OHDqFNmzYAmGtEdHksfmVIr9dj2rRpGDduHD799FMoFC3bgP/QQw9h0KBBsFgsOHfunNv2k56ejlWrVsHf3982b/LkyUhJScFzzz2H//3vf27b9+VotVqUlpYCAP744w/s3Lmz3nuRA0BJSQm0Wm1LhUcuwlxrXbkGAAMHDrT9/fDDD+Pdd9/Fb7/9hmuvvRYAc42ILo/dHmRo1apVyM/PxzPPPAOFQoGysjJYrVaHZSoqKpCcnIzk5GRUVFTY5hcVFSE2NhZDhgyBxWIBUPVlMXfuXCQmJkKtViMqKgrXXnstdu/eXWvfmzdvxqeffoolS5bUGduiRYsgSRIOHTqESZMmQaPRIDw8HA888AAqKysb9TqHDBni8GUMAJ07d0aPHj1w8ODBRm3LGRMmTEC/fv2watUq9O7dG4GBgUhMTMSrr75aa9mUlBQcPXoUAPDzzz/j8OHDaNeuHWJiYrB69Wo8//zzmDlzpm35w4cPIyUlxeUxk3sx11pXrtVFoVDA/tIV5hoRXQ6LXxlav349NBoNcnJy0LVrV4SEhECj0eD++++3fekFBgbivffew7Fjx/DPf/7Ttu6sWbOg0+mwcuVKKJVKAMB9992Ht956CzfffDPefPNNPPTQQwgMDKz1pWexWDBnzhzcddddl/1ymTRpEiorK5GRkYHrr78er732Gu65555mv3YhBPLz8xEREdHsbdW0b98+ZGdnY/bs2ZgwYQJeeukltG3bFunp6fj2228dlh0zZgy2bNkCALjnnntw7NgxZGZmIjMzExMmTMCsWbNsX+T5+fk4f/48+vfv7/KYyb2Ya60r14qLi7Fu3ToYDAYYjUa8+uqrKCoqQlpaGgDmGhE5yXUDVFBL6dWrlwgKChJBQUFizpw54rPPPhNz5swRAMSUKVMclp0/f75QKBRi8+bN4pNPPhEAxJIlSxyW0Wq1YtasWZfd7xtvvCG0Wq1trMJhw4aJHj16OCyzcOFCAUBMmDDBYf7f/vY3AUDs2bOnKS/Z5v333xcAxDvvvNOs7dSk1+uFJElCo9GIgwcP2uYXFBSIwMBAccsttzgsn5OTU+c4v0IIMX36dIehzpYsWVJrWDSSB+Za68q1goIC0a9fPxESEiLatm0rRowYIXbt2mVblrlGRM5g8StDSUlJAoC47777HObfe++9AoA4cuSIbZ7BYBApKSmiQ4cOIjIyUgwbNkxYrVaH9dq3by/69+8vcnJy6t3nuXPnRFhYmHjppZds8xr6Qv7hhx8c5h88eFAAEBkZGY1+vfbb0Gg0YvDgwXUWnc2xbds2AUA8++yztZ7r27evuPLKK2vNnzVrlvjggw8a3K7JZBI9e/YUubm5LouVWg5zjblGRN6H3R5kKDAwEABwyy23OMy/9dZbAQDbtm2zzfP398e7776LkydPoqSkBCtWrIAkSQ7rvfDCC9i/fz/i4+MxcOBALFq0CCdOnHBY5vHHH0dYWBjmzJnjVIw1hybq2LEjFAoFTp065dT6NeXl5WHcuHHQarX49NNPbaeR62M0GpGXl+cwVfe7rMu+ffsAALfffnudz9d1tf0bb7xhe8/ro1KpsG/fvkbfd5xaB+Yac42IvA+LXxmKi4sDAERHRzvMj4qKAgBcuHDBYf4PP/wAAKisrKzzwpFJkybhxIkTeP311xEXF4cXX3wRPXr0wPfffw8AOHr0KJYvX46///3vOHv2LE6dOoVTp06hsrISJpMJp06dQlFRUYMx1ywCGkOn02Hs2LEoLi7G2rVrba+/IVu3bkVsbKzDlJ2dXe/y+/fvR1hYGK644gqH+ZWVlThw4AB69erV5PhJvphrzDXyfjNmzMCNN97osf3ffvvtePbZZ12yLaPRiMTERPz+++8u2Z7X8nTTMzXeo48+KgCIDRs2OMzfsGGDAOBwenDPnj3C399fzJw5U/Tp00fEx8eL4uLiBrefn58v2rVrJ4YOHSqEqP92g/bTAw88IIRw/anYiooKcdVVV4mgoCCxdetWp9crKioS69atc5gauvf3iBEjRGRkZK35b775pgDAW3z6KOba5THXqDW7XD4tXLhQFBcXiwsXLngkvszMTBEWFiZKSkpcts3XX39dXHPNNS7bnjdi8StDu3fvFgDErbfe6jD/lltuESqVytaf0Gg0ij59+ojExESh1+sdvpyrmc3mOr+gBwwYIPr37y+EEKKwsFCsWbOm1tSjRw+RkJAg1qxZI/bu3SuEuPxFOJmZmU6/TrPZLCZMmCBUKpX49ttvnV6vKSIjI2v14SwoKBDx8fFi9OjRbt03tV7MNddjrlFLys3NtU1LliwRGo3GYZ4ri86muPPOO8W9997r0m0WFRUJf39/sX//fpdu15uw+JWpO+64QwAQkyZNEkuXLhUTJ04UAMT8+fNtyyxYsEBIkiR++ukn27ynn35aALB9wV24cEEEBweL6dOni1deeUUsX75cTJo0SQAQL7/8coMxNHQRTkpKihg/frxYunSpmDp1ap0FxOU88MADAoAYP368eP/992tNrpKXlycAiF69eokuXbqIf/3rX+K5554T8fHxIi4ursGLk8j7MdeYa+QdVqxYIbRaba3506dPFzfccIPt8bBhw8Ts2bPFAw88IEJDQ0VUVJRYvny5KC0tFTNmzBAhISGiY8eO4rvvvnPYzr59+8SYMWNEcHCwiIqKElOnThWFhYX1xmM2m4VWqxXffPONw/z27duLZ555RsycOVOEhISI+Ph48e9//9v2vMFgELNmzRIxMTFCrVaLhISEWheQjhgxQjz++OONeHd8C4tfmTIajWLRokWiffv2ws/PT3Tq1Em8+uqrtud37dolVCqVmDNnjsN6ZrNZDBgwQMTFxYkLFy4Ig8Eg/vGPf4jU1FTRpk0bERwcLFJTU8Wbb7552Rga+kI+cOCA+Otf/yratGkj2rZtK2bPnt3gqdD6tt/Q6SpXWbdunQAgduzYIe666y6h1WqFRqMRkydPFllZWS7bD8kTc425Rt6hMcVvmzZtxFNPPSWOHDkinnrqKaFUKsXYsWPF8uXLxZEjR8T9998vwsPDRVlZmRCi6sdtZGSkmD9/vjh48KDYvXu3uPbaa8WIESPqjaf6zFJeXp7D/Pbt24uwsDCxdOlScfToUZGRkSEUCoU4dOiQEEKIF198UcTHx4vNmzeLU6dOiV9++UWsWrXKYRuPPPKIGDZsWNPeKB/A4pdcqvoLuaFfu63Nq6++KpRKpaisrPR0KEROY64RNU5jil/7IffMZrMIDg4Wt99+u21ebm6uACC2bdsmhBDiqaeeEtddd53DdrOzswUAcfjw4TrjWbNmjVAqlXUOiTh16lTbY6vVKqKiosRbb70lhBBizpw54pprrqm1nr1//etfIjExsd7nfR1HeyCft2/fPiQlJUGtVns6FCKvxlwjubAfdUSpVCI8PNzhbovVI8AUFBQAAPbs2YONGzciJCTENiUnJwMAjh8/Xuc+KioqoFar6xyhxX7/kiQhJibGtq8ZM2YgMzMTXbt2xd///nf8+OOPtdYPDAxEeXl5Y1+2z1B5OgDyPRaLBYWFhQ0uU/3h0RL279+Pbt26tci+iFoSc42oafz8/BweS5LkMK+6YLVarQCA0tJSjB8/Hs8//3ytbcXGxta5j4iICJSXl8NoNMLf3/+y+6/eV9++fXHy5El8//33WL9+PSZNmoRRo0bh008/tS1fVFSEyMhIZ1+uz5FVy+/mzZsxfvx4xMXFQZIkfPHFFw0uv2nTJkiSVGvKy8trmYCpTtnZ2bXGBa05vfTSSy0SixACf/75J7+Qa2CueQfmGlHL6Nu3L/78808kJiaiU6dODlNdN24BgN69ewMADhw40Oj9aTQaTJ48Gf/5z3+wevVqfPbZZw5jgO/fvx99+vRp0mvxBbJq+S0rK0NqairuuOMO3HTTTU6vd/jwYWg0Gtvj6gHqyfUWLVqERYsWNbhMTEwM1q1b1+AySUlJLoyqfpIkobS0tEX2JSfMtdaPuUbUesyaNQv/+c9/cMstt+Dhhx9GWFgYjh07ho8++ghvv/12nXdKjIyMRN++fbFlyxZbIeyMV155BbGxsejTpw8UCgU++eQTxMTEIDQ01LbML7/8gqeeesoFr8w7yar4HTt2LMaOHdvo9aKiohwOCvKsgIAAjBo1ytNhUAOYa96BuUbUMuLi4vDrr7/ikUcewXXXXQeDwYD27dtjzJgxUCjqP8l+11134b///S9mz57t9L7atGmDF154AUePHoVSqcSAAQPw3Xff2fazbds26HQ6/PWvf2326/JWkhBCeDqIppAkCWvWrGnwloSbNm3CiBEj0L59exgMBvTs2ROLFi3C0KFD613HYDDAYDDYHlutVhQVFSE8PLxZtw0lak2EECgpKUFcXFyDH8wAc42oORqTa+R7Kioq0LVrV6xevRqDBw92yTYnT56M1NRUPPbYYy7ZnjeSVctvY8XGxmLZsmXo378/DAYD3n77bQwfPhzbt29H375961wnIyMDixcvbuFIiTwjOzsbV1xxRbO3w1wjapirco28S2BgIP773//i3LlzLtme0WhESkoKHnzwQZdsz1t5dctvXYYNG4aEhAS8//77dT5fszVKp9MhISEB2dnZDn0ZieRMr9cjPj4excXF0Gq1DS7LXCNqusbkGhG1DK9u+a3LwIEDsWXLlnqfV6vVdY5BqdFo+IVMXsed3QuYa0SXsCsPUevhcx2QMjMz6x1zj4hch7lGREStkaxafktLS3Hs2DHb45MnTyIzMxNhYWFISEjA/PnzkZOTg//+978AgCVLlqBDhw7o0aMHKisr8fbbb+Onn36q824oRHQJc42IiLyVrIrf33//HSNGjLA9Tk9PBwBMnz4dK1euRG5uLrKysmzPG41GzJs3Dzk5OQgKCkKvXr2wfv16h20QUW3MNSIi8layveCtpej1emi1Wuh0OvZDJK/RGo/r1hgTUXPxuCZqfXyuzy8RERER+S4Wv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD5DVsXv5s2bMX78eMTFxUGSJHzxxReXXWfTpk3o27cv1Go1OnXqhJUrV7o9TiK5Y64REZG3klXxW1ZWhtTUVCxdutSp5U+ePIlx48ZhxIgRyMzMxNy5c3HXXXfhhx9+cHOkRPLGXCMiIm+l8nQAjTF27FiMHTvW6eWXLVuGDh064OWXXwYAdOvWDVu2bMGrr76K0aNHuytMItljrhERkbeSVctvY23btg2jRo1ymDd69Ghs27at3nUMBgP0er3DREQNY64REZFceHXxm5eXh+joaId50dHR0Ov1qKioqHOdjIwMaLVa2xQfH98SoRLJGnONiIjkwquL36aYP38+dDqdbcrOzvZ0SEReiblGRESeIKs+v40VExOD/Px8h3n5+fnQaDQIDAyscx21Wg21Wt0S4RF5DeYaERHJhVe3/A4ePBgbNmxwmLdu3ToMHjzYQxEReSfmGhERyYWsit/S0lJkZmYiMzMTQNXwSpmZmcjKygJQdRp12rRptuXvu+8+nDhxAg8//DAOHTqEN998Ex9//DEefPBBT4RPJBvMNSIi8layKn5///139OnTB3369AEApKeno0+fPliwYAEAIDc31/blDAAdOnTAt99+i3Xr1iE1NRUvv/wy3n77bQ69RHQZzDUiIvJWkhBCeDqI1kyv10Or1UKn00Gj0Xg6HCKXaI3HdWuMiai5eFwTtT6yavklIiIiImoOFr9ERERE5DNY/BKRrJUbzThRWOrpMIiISCZY/BKRrF37ymZc8/LPyMwu9nQoREQkAyx+iUjWcoqrbp+8dn+ehyMhIiI5YPFLRF6BA9cQEZEzWPwSkVewsvglIiInsPglIq/A2peIiJzB4peIvIKVxS8RETmBxS8ReQUBVr9ERHR5LH6JyCuw2wMRETmDxS8ReQVe8EZERM5g8UtEXoHFLxEROYPFLxF5Bda+RETkDBa/ROQVWPsSEZEzWPwSkVfgHd6IiMgZLH6JyCtYrZ6OgIiI5IDFLxF5hepxfksqTfj5SCHMFlbDRERUG4tfIvIK1Xd4m/PhH5j+7g4s+/m4ZwMiIqJWicUvEXmF6qHONh0uBAAs3cjil4iIamPxS0Reoeb1bhUmi2cCISKiVo3FLxF5BY72QEREzmDxS0Rewcral4iInMDil4i8Am9vTEREzpBd8bt06VIkJiYiICAAaWlp2LFjR73Lrly5EpIkOUwBAQEtGC2RfMkt11j6EhGRM2RV/K5evRrp6elYuHAhdu/ejdTUVIwePRoFBQX1rqPRaJCbm2ubTp8+3YIRE8mTHHONfX6JiMgZsip+X3nlFdx9992YOXMmunfvjmXLliEoKAjvvvtuvetIkoSYmBjbFB0d3YIRE8mTHHOtZu0rSS26eyIikgnZFL9GoxG7du3CqFGjbPMUCgVGjRqFbdu21bteaWkp2rdvj/j4eNxwww34888/G9yPwWCAXq93mIh8iVxzrWafX9a+RERUF9kUv+fOnYPFYqnVmhQdHY28vLw61+natSveffddfPnll/jf//4Hq9WKIUOG4MyZM/XuJyMjA1qt1jbFx8e79HUQtXZyzbWaoz1IbPolIqI6yKb4bYrBgwdj2rRp6N27N4YNG4bPP/8ckZGR+Pe//13vOvPnz4dOp7NN2dnZLRgxkTy1hlyr2e1BwdqXiIjqoPJ0AM6KiIiAUqlEfn6+w/z8/HzExMQ4tQ0/Pz/06dMHx44dq3cZtVoNtVrdrFiJ5EyuuVbzgjeJHR+IiKgOsmn59ff3R79+/bBhwwbbPKvVig0bNmDw4MFObcNisWDfvn2IjY11V5hEsienXLMveGuN88val4iI6iCbll8ASE9Px/Tp09G/f38MHDgQS5YsQVlZGWbOnAkAmDZtGtq1a4eMjAwAwJNPPolBgwahU6dOKC4uxosvvojTp0/jrrvu8uTLIGr15JJr9v18aw50xtqXiIjqIqvid/LkySgsLMSCBQuQl5eH3r17Y+3atbYLc7KysqBQXGrMvnDhAu6++27k5eWhbdu26NevH7Zu3Yru3bt76iUQyYJccs2x5dfxOQUveCMiojpIgiPDN0iv10Or1UKn00Gj0Xg6HCKXaI3HdVNiMpqt6PL49wCAqzpH4P0705D46LcAgCB/JQ48OcZt8RI5ozXmGpGvk02fXyKimgTq7/PLdl8iIqoLi18iki37erf2Hd5Y/hIRUW0sfolItqwNjPbA2peIiOrC4peIZMu+3rUK4J0tJ22PWfsSEVFdWPwSkWw5tPYK4KlvDtgestsDERHVhcUvEcmW1aHl17HbA29vTEREdWHx28LydJU4W1zh6TCIvENDN7lgyy8REdWBxa8bVZosDo9NFisGZWzAkOd+qvUcETVegxe8tXQwREQkCyx+3eS/204h+Ym1WH8gHztOFuGJL/YjX19pe76wxODB6Ii8g325W/MOb2z4JSKiusjq9sZysuDLPwEA93+wC2qVEqUGM/bm6GzPs+WXqPnsW3vrulllpckCtUrBLhBERGTDll83M1kESg1mAMCe7GLb/EqT1UMREXkP++LXUqPpt6jMiNTFP+L2d3a0dFhERNSKsfj1kAq2/BI1n129W7P4tQrAYLZiy7FzLRwUERG1Zix+PYTdHoiaz9pA8UtERFQXFr8eYqmjfyIRNY6wa/plThERkTNY/HqIla1URM3mcJML5hQRETmBxa+HVJ+iresKdSJyjn3Ba26g+GVhTERE1Vj8esisVbvx/b5c9H5yHdbuz/V0OESy11CB21BhTEREvoXFr4eYLAL3f7AbugoT7vvfbk+HQyRLDkOdNXAWxWzl0IJERFSFxS8RyZZwcrQHk4Utv0REVIXFLxHJVkM3ubD38o+HHR6fuVCOr/acZV9gIiIfxNsbE5FsOTvO73+3ncZj13eDSiFBV2HCiJc2wWQRKDeYMWVgQgtESkRErQVbflsJo9mKuR/9gf9sPgGg6iYYf/tgF1bvzPJwZN5h4+ECHDir93QY5HKXCt7LNeKeuVCBO977Hf2eXm/rBvHL0Ut3f+PIK0REvoHFbyvxzpaT+CLzLJ757iAulBnxw595+G5fHh75bB/SV2di56kiT4coW3+e1WHmip24/rVfPB0KuZh9wWu2WtEmoP6TWboKIzYfKXSY9+2+XJwrNaCk0oSrX9yIhz/d465QvZoQAnvPFMNo5oWFRNT6sfhtJZ5fe8j29/JfTuCz3Tm2x5//kYOJy7bhiz9y8M3es5ixYgdydRWeCFM28vWV2HdGBwA4nFdim19qMONscQV+548JryAcbnLh+Limj3Zk1zl/1fYsfL0nF9lFFfj49zMAqo6TbcfPs0+wk374Mw8T3vgV/+CPByKSAdkVv0uXLkViYiICAgKQlpaGHTt2NLj8J598guTkZAQEBCAlJQXfffddC0XadG9tOl6rhQoA5q7OxOxVf2DT4UIMzvgJs1ftxpglmzHv4z34MjMHW4+dQ2GJAfn6SgDA8cJSvLnpGCpNlpZ+CR43/d0dGP/GFqw7kI8y46XXn3OhAhOXbcPEf2/DoTx2g2iIHHKt5lBn1gaq3092nalzvtlihcni2GI57+NM3PKf3/Ahux05ZeXWUwCALzPPejYQIiInyOqCt9WrVyM9PR3Lli1DWloalixZgtGjR+Pw4cOIioqqtfzWrVtxyy23ICMjA3/5y1+watUq3Hjjjdi9ezd69uzpgVfgWt/srbo5xqG8Eny2u+qLXZKqWr9u6B2HP7KKkVVUjt9PXUDHyGAUlhgweUACdp4qQtsgP0wd1B5CAAqF5MmX4XIWq8Chi629P/yZh1htgO2544WlyCmuajXffqIIwf4qZBWVY2inCFSaLNiXo0PfhLZQetl70litPdcO5enxzzX7MbBDmG2exdpw8Vuf13465vDYaLbihz/zAQArfz2FqzpFIj4sEJIkwWi2wioEAvyUAIAVv57E/347jbenD0CHiGAYzBYcyStFYWklrkmObsYrbJ1KDWb4KSWoVUqH+SWVZodlMr47iBhNAKYOao/Vv2cjWK3CxH5X2N63akIImCwC/irZtcMQkYxJQkZXeaSlpWHAgAF44403AABWqxXx8fGYM2cOHn300VrLT548GWVlZfjmm29s8wYNGoTevXtj2bJlTu1Tr9dDq9VCp9NBo9E4HWvio986vaynRGvUaBPgh7uu7IBKkwUmi0B4iD/e23Yas4Z3REmlGcO6RsIqBAr0BlisAp2iQqCQJBjMFoSoVTBbqwqBMoMZwepLv6WsVuH2orrCaEH2hXIE+ilRbrSgY2QwcoorUGGyYMySS/17r+0ejXUHqooZP6Vku9hp1oiO+GZvLk6fL8eyqf2wfPNx7M4qxq1pCVg0vgeOF5ai1GDGgMQwHDirx/qD+Zg6qD3aBvkhq6gcV7QNglIhoaTShJziCnSNbgOTReD5tYegqzBh4fjuyNNVIkYbgBC1CusPFkAb6IeBHcJgsQqUG81oE+Dn1veoPpc7rlt7rs36YDe+3Vf7zoj2/79NdU1yFH46VOAwLzU+FB/enYZrX9mMnOIKvPjXXvhrvyvQYf53tnU2Hyl0uJPcLQPjcV2PGAxOCse5UgOC/VUIDfKDJMnrh9V3+3JxrKAU/9enHW59+zcUl5mQcoUWoUF+eOi6rmgT4IeRL2+C/mIBvHhCDyz86k8AQIeIYJw8VwYAeHBUF8y+phPSP85EkL8Kk/pfgfmf78O5UgM+umcQ2ocHw09ZVQSbLFYczNUjWhOAaE0ASipNMJitiAhRo8JowW8nziMtKQxr/shBucGC2wYlIMhfheJyI85cqEDXmDa2bXlaU79DiMh9ZFP8Go1GBAUF4dNPP8WNN95omz99+nQUFxfjyy+/rLVOQkIC0tPTMXfuXNu8hQsX4osvvsCePXX3TTMYDDAYDLbHer0e8fHx9X5wzfnwD+TrKxHsr0SQvwpdY9rgb8M7otM/v2/6i5UZpUKCxSrgp5QQGaKGVQBFZUZEaaq+qEICVAj2VyFPX4n4sCC0UatQbjSjzGBBmwAViitMuKJtICqMFpitAhVGC/xUCigloG2QPyxCwGCyQpIAs0VAoQD8VUrsPFmEihbo0jGqWzQ2HS6A2SoQHxYIqxXIKa5A56gQDO0UgR/+zEOurhLXp8TAYLJiQ43CSROggr9KgXOlRgDAtMHtsfFwAbKLKjA4KRzRGjX+PKuHwWxFanwoTp4rxflSI5Iig3G+1Ag/pQJhwf5QKSTkFFdApZQQHqyGrsKEUoMZUW3UCFarUKCvtI19YDRboVRI+HLWUKjqKAIa+kJujblWZjDj7v/+jjKDGSUGM04UltW5zdaud3woOkaG2M7UhKhV6BJd9YNSX2lCaaUZkiQhKTIYJZVmWKxVraIllSaoVUoE+isBARjMFlgFoFJKUEgSisuNCAnwg4SqfPRXKmARAmaL1fb/X11yCwGYatzxrvo5SZKgkAAJEhQK4FhBGc6VGuAqieFBOHW+vM7nlAoJ3WLboHd8KH78Mx8FJVX7jdUGIFdXCaVCwswhidh5+gL2ZBc7rJsQFoSEsCDsPFUEg9mK8GB/JMe2gcUqEBcaiFhtANYfKEBRuRExmgCUGc24UGZE7/hQSFLVD1hJkqAJ8EOZwYwyoxltAlQI9FOipNIMf5UC/koFFAoJSkmCSimhpNKME+dK0TNOi9E9YvCXXrGNzjUi8gzZdHs4d+4cLBYLoqMdTyVGR0fj0KFDda6Tl5dX5/J5eXn17icjIwOLFy92Oq492VVdC6p9uy8Xr6w74vT63qB6fFWTReCsrtI2/8yFqu4F58uMtnlFdn/bO1ZQ6sYIm2f9wXzb39lFly40PFpQiqN2cX+3r+7jSm93ShioGnO22rYT5x2esz+Wcu3ey4Y09N4pmtDK2BpzzV+lwNbj5y+/YCuXmV2MTLvCrdRgxu6s4lrLVXfN8QYzhyZixa+nAKDewheo+hzZn6PH/pyqvvgqhQSzVdjywGIVeHvLyTrXzSoqd8id82VG/Hqs7uOlsORSMb/xcO1rKxoru6gCe7KLcUPvuGZvi4hahmyK35Yyf/58pKen2x5Xt0bV57mbUnCh3IRyoxmLvvrT4eIqOWoToEJJpRlXtA1EUZkRQf4qhAX74fT5cvSI0yClnRYnzpVBrVIiyF8JlUJCkFqJuNBAZBdVQKkAYrWB0FeaEKBSwmy1wl+pRFiIP86XGqBSSIi42Doc6K9AaaUZYcFqFFcY4a9UwGQRiA0NgMlshdFiRWmlGQpJgr9KAQEBlUIBqxAoM1hwtKAEK349BUkC/jG6Kz7fnVOrEGyopala6hVa7Lk4MsSjY5PxwfbTyC6qwLiUWPS6QosXfziMPgmhWPCXHnhv2ymcPFeGu69KQr6+Er8eO4ekyBB0j9PgnV9OwGC24r5hHSFJwLPfHcTUtPaI0QbgrU3HMbRTBLrEtMHWY+eQHKPBNclR+PlIAfxVCoQHq6GvNOFcqQEp7bQI8lchM7sYHSKCEeSvxPlSI8qNZiRGBNu6oQT6KxEerEZhaSVKK82I0gTATylBiKpi0dICXU+aozG55qdU4LVb+iDYX4lgddWZhKnvbIeuwtQisUaEqOtsAR2YGIYddiOH1Hxcbd61XVBUbsSOk0UID1EjRqNGSjstusVqkKurRGGJAVe0DYRCkmCyWHGh3ISwYH9YrAJlRjNUiqpWyRKDCSqFAn5KCZUma1VeCCAkQIVKkwUSqoZ/M5gtUCkUUCklmC2X+kJLUtUPIpVCsnW/qD75J1DVKlz92GQVyNNVQFdhwn3DOmJfjg6/HjuHpRuPN+q9+9vwTjhXasTXexwvhkuOaYOXJqbi12PnkPH9ISRFBOPmflfgcF4JAv2UmDe6CwwmK5797iByiiswomsUfjyQj3ahAUiKDMHbv5zAyG7ReHlSKpZtOo6PdmbjtrQE3DG0A1788TAkAP3at8WZCxXIKipH91gNeieE4nypEQazBREhVWdc1CoFwoP9YbYK6CtNCFGrEKJWQVdhQqWpavg808WLIi3WqgsrTWYr/FQKJIYHYfuJIrQJUMmuOwuRL5NN8RsREQGlUon8/HyH+fn5+YiJialznZiYmEYtDwBqtRpqtdrpuIZ0irD9XVxuwjPfHXR6XXfr2U6D9mHBOF1Uhv05etvFcACw4C/dcU1yFJ757iBuHZiArKJypCWFITmm7tNyQohW+eF+x9AO0FWY0LOd9uKXrAH9n14PABicFI751yfjhqW/OgyBNX9sMhIjgrHzZBFGJEehX/u2uPL5n1BcbsKobtEY1S0aO08VYVL/eCgVEqYOam/rz/zSxFSH/U8fkmj7e0KqY8vPDb3b2f6e2P9SUXf7oPa2v1Ou0Nb72q7uEun8G+FCrTXXar6/iyf0wNzVmU6v3xhbHhmBK5/fCAD4+N7B6N++Lfbl6JDSTgtJAnadvoCe7bQI8FNi/uf78OOfeVg+rT96xGlwOK8EPdtpoZCAHSeL0C1OA42H+na70pCOEUjrEI4tR8+h3GjB13OuxM9HCnHv+7sAVPXpfXW941mvyf3jEdlGjdem9MbTN/bEoq/+hMUq8NLEVNtFbj3baXFD73YID/Gvs5/uW1P72f5+8Noutr/njuqMQD8lJEnCw2OS8fCYZNtzz/5filOvaVBSuPNvQD2u6uyZPCWippNN8evv749+/fphw4YNtn6IVqsVGzZswOzZs+tcZ/DgwdiwYYNDP8R169Zh8ODBbomxc3SIW7YLVH0Zz1yxE8cLS9ExMgQhASr8UeN0qUIC+iS0xa7TFwAA38y5yvZcgb4SRosVGw4WYH+ODremJSDAT4n/TOvv1P5bY+ELAPFhQbBvK4wIUeP5m1Pwn19O4tGxyeh1RSg+vW8IjheW4uFP9wIAukS3wYjkKIzucakw+3L2lSgzmNEpqur/sPpfAA4X8vkCOeQaAISH+Nf7XHU/9Jr8lQoYLbVvxHDvsCT8++cT8Fcp8OPcq9EuNBD/16cd/JUKDEhsC0mSkBofalu+f+KlUSYybkpBxk2Xii375dJcUFy1JkqFhC9mDbV9HlzXPRoPj6m66O2WAfHIvlCOTy8OKXfwyTFVfZRR9fmhDfTDq5N717ndGLsRWZwV5O9beUlEriOrT4/09HRMnz4d/fv3x8CBA7FkyRKUlZVh5syZAIBp06ahXbt2yMjIAAA88MADGDZsGF5++WWMGzcOH330EX7//XcsX77cLfH1iKu/Fa+5YrWBWHX3IOgqTOgUFYJyoxndF/wAoKpPnb9SgTkjO8NgsmDx1wcweYDj6eMoTdWXi31LpbeaPCABkwck2B73a98Wva7QYtmm49BXmtCrjtbWdqGBLRliq9facw1ArWGz7KnqK35VdRe/88d2w6Njkh1+5NVXqPk6+/dIkiT8bXgn2+Nn/y8FZQYzkiKDbYUvEVFrI6vid/LkySgsLMSCBQuQl5eH3r17Y+3atbYLbbKysqBQXDptNmTIEKxatQqPP/44HnvsMXTu3BlffPGF28b4jWyjxjdzrsRfXt/S7G0lx7TBqfNlqDRVfVErFRIi26gR2abqNHGQvwqRbdQoLDHgjqEdEB8WBKDq6vHXbunT7P17Gz+lAmvnXg2D2eKx4cXkpLXnGoAGx2L2UypgqONWu/4qBWDXdbeNWoVb06p+KLXWsxty4q9SOHRTICJqjWQz1JmnNGWYmpSFP6DEYL78gnV487a+KKk0YfKABLy+4SheXncEsdoAbJs/stayOcUVqDRZ0DHSfd0tyDu1xuGXGhvTnuxi3LD01zqfCw3yQ3F57YvhYjQByNNfGkXj2DNj6xyeishVWmOuEfk6WbX8yoVK2bQWpJR2WlyfEmt7fPfVSQhSqzC+V2ydy/NUPfmyhlp+VYq6C9qQABVw8a7WUwbEs/AlIvJBLH7doCl3Fvrb8I74+8jODvMC/JS488oOrgqLyKs09CPTv57nxveKwy9HC9EtVoMnb+jhrtCIiKgVY7OHGzS2+NUG+uGuq5IavICHiByp7Fp+ozWOQ6bZt+jaD08XrFbi0/uH4Kkbe7KPLxGRj2Lx62YD7YZEqsvQTuHY8c+RCAuuf9gmIqrN/u51Nbs52LcKJ0UG2y3HgpeIyNex+HUDs/XSVeavTund4OgLgX4qqFVs8SVqLPuCt2YXCPsit43dOM3s40tERPwmcAP78UXbhQbiLyl1X7AGAFd3iaj3OSKqn1Jp3/Jbs/i99NFmP7RdSjv3jcVNRETywAve3KBmn19FPadaF43vXutmFETkHPuCt2a3B6vdCI4hASqsnXsVzhRVONx9jYiIfBNbft3g5YmpCPRT4rmbGr6//IyhHdjlgaiJHPr81uj2UGGy2P4O9lciOUaDUd2jWyw2IiJqvdjy6wZDOkVg/+LRDY5DSkTNY9/yq6gxckOF8VLxy1EdiIjIHlt+3aS+wpf1MJFr2Pf5FXC8UaV98UtERGSPLb8t7PFx3ZFTXIGb+rbzdChEsmbf8muxOj5XbmLxS0REdWPx28Ku6hyBztFtPB0GkezZd3UQwrHl137EFSIiInssflvILw+PQEGJgYUvkYvYt/xaBYtdIiJyDovfFhIfFoT4sCBPh0HkNZQOxa8HAyEiIlnhBW9EJEv2ozjUbPl94i/dAQCvN3B3RSIi8k1s+SUi2avZ6+HOKzvgr/2ugDbQr+4ViIjIZ7Hll4hkr64+vyx8iYioLix+iUj2eMEbERE5i8UvEcme1Xr5ZYiIiAAWv0TkBWqO80tERFQfFr9EJHsc6oyIiJzF4peIZI99fomIyFksfolI9lj6EhGRs1j8EpHssc8vERE5SzbFb1FREW677TZoNBqEhobizjvvRGlpaYPrDB8+HJIkOUz33XdfC0VMJE9yzDX2+SUiImfJ5g5vt912G3Jzc7Fu3TqYTCbMnDkT99xzD1atWtXgenfffTeefPJJ2+OgoCB3h0oka8w1IiLyZrIofg8ePIi1a9di586d6N+/PwDg9ddfx/XXX4+XXnoJcXFx9a4bFBSEmJiYlgqVSNbkmmuSR/ZKRERyJItuD9u2bUNoaKjtyxgARo0aBYVCge3btze47gcffICIiAj07NkT8+fPR3l5eYPLGwwG6PV6h4nIVzDXiIjI28mi5TcvLw9RUVEO81QqFcLCwpCXl1fverfeeivat2+PuLg47N27F4888ggOHz6Mzz//vN51MjIysHjxYpfFTiQnzDUiIvJ2Hi1+H330UTz//PMNLnPw4MEmb/+ee+6x/Z2SkoLY2FiMHDkSx48fR8eOHetcZ/78+UhPT7c91uv1iI+Pb3IMRK1Bfbmm1Wptf8s51yT2eyAiIid5tPidN28eZsyY0eAySUlJiImJQUFBgcN8s9mMoqKiRvUxTEtLAwAcO3as3i9ktVoNtVrt9DaJ5KBmrpWWlmLAgAHYuXMnQkJCADDXiIjIN3i0+I2MjERkZORllxs8eDCKi4uxa9cu9OvXDwDw008/wWq12r5knZGZmQkAiI2NbVK8RHJVM9eq+9d26dIFGo3GNp+5RkRE3k4WF7x169YNY8aMwd13340dO3bg119/xezZszFlyhTb1ec5OTlITk7Gjh07AADHjx/HU089hV27duHUqVP46quvMG3aNFx99dXo1auXJ18OUasl31xjvwciInKOLIpfoOpK8uTkZIwcORLXX389rrzySixfvtz2vMlkwuHDh21XmPv7+2P9+vW47rrrkJycjHnz5uHmm2/G119/7amXQCQLzDUiIvJmkuB9QRuk1+uh1Wqh0+kcTg8TyVlrPK6bElPio98CACJC1DhXarDNP/XcOLfESNRYrTHXiHydbFp+iYiIiIiai8UvEcmeJHG4MyIicg6LXyKSPda9RETkLBa/REREROQzWPwSkexJEsBLd4mIyBksfolI9mK1gZ4OgYiIZILFLxHJ1gd3peHKThH415Teng6FiIhkwqO3NyYiao6hnSIwtFOEp8MgIiIZYcsvEREREfkMFr9ERERE5DNY/BIRERGRz2DxS0REREQ+g8UvEREREfkMFr9ERERE5DNY/BIRERGRz2DxS0REREQ+g8UvEREREfkMFr9ERERE5DNY/BIRERGRz2DxS0REREQ+g8UvEREREfkMFr9E5BWmDW4PAJjY7woPR0JERK2ZytMBEBG5whN/6Y5xKbHonRDq6VCIiKgVY/FLRF7BT6lAWlK4p8MgIqJWTjbdHp555hkMGTIEQUFBCA0NdWodIQQWLFiA2NhYBAYGYtSoUTh69Kh7AyWSOeYaERF5M9kUv0ajERMnTsT999/v9DovvPACXnvtNSxbtgzbt29HcHAwRo8ejcrKSjdGSiRvzDUiIvJmkhBCeDqIxli5ciXmzp2L4uLiBpcTQiAuLg7z5s3DQw89BADQ6XSIjo7GypUrMWXKFKf2p9frodVqodPpoNFomhs+UavgzHHNXCNqPh7XRK2PbFp+G+vkyZPIy8vDqFGjbPO0Wi3S0tKwbdu2etczGAzQ6/UOExHVj7lGRERy4rXFb15eHgAgOjraYX50dLTtubpkZGRAq9Xapvj4eLfGSSR3zDUiIpITjxa/jz76KCRJanA6dOhQi8Y0f/586HQ625Sdnd2i+ydyh5q5ptVqAVS10DLXiIjIl3h0qLN58+ZhxowZDS6TlJTUpG3HxMQAAPLz8xEbG2ubn5+fj969e9e7nlqthlqtbtI+iVqrmrlWWlqKAQMGYOfOnQgJCQHAXCMiIt/g0eI3MjISkZGRbtl2hw4dEBMTgw0bNti+gPV6PbZv396oq9iJvEHNXKvuX9ulS5dmX4TDXCMiIjmRTZ/frKwsZGZmIisrCxaLBZmZmcjMzERpaaltmeTkZKxZswYAIEkS5s6di6effhpfffUV9u3bh2nTpiEuLg433nijh14FUevHXCMiIm8mmzu8LViwAO+9957tcZ8+fQAAGzduxPDhwwEAhw8fhk6nsy3z8MMPo6ysDPfccw+Ki4tx5ZVXYu3atQgICGjR2InkhLlGRETeTHbj/LY0jtFI3qg1HtetMSai5uJxTdT6yKbbAxERERFRc7H4JSIiIiKfweKXiIiIiHwGi18iIiIi8hksfomIiIjIZ7D4JSIiIiKfweKXiIiIiHwGi18iIiIi8hksfomIiIjIZ7D4JSIiIiKfweKXiIiIiHwGi18iIiIi8hksfomIiIjIZ7D4JSIiIiKfweKXiIiIiHwGi18iIiIi8hksfomIiIjIZ7D4JSIiIiKfweKXiIiIiHwGi18iIiIi8hksfomIiIjIZ7D4JSIiIiKfweKXiIiIiHwGi18iIiIi8hmyKX6feeYZDBkyBEFBQQgNDXVqnRkzZkCSJIdpzJgx7g2USOaYa0RE5M1Ung7AWUajERMnTsTgwYPxzjvvOL3emDFjsGLFCttjtVrtjvCIvAZzjYiIvJlsit/FixcDAFauXNmo9dRqNWJiYtwQEZF3Yq4REZE3k03x21SbNm1CVFQU2rZti2uuuQZPP/00wsPD613eYDDAYDDYHut0OgCAXq93e6xELaX6eBZCuGybzDWi2tyRa0TUPF5d/I4ZMwY33XQTOnTogOPHj+Oxxx7D2LFjsW3bNiiVyjrXycjIsLV82YuPj3d3uEQtrqSkBFqtttnbYa4RNcxVuUZEzScJD/4cffTRR/H88883uMzBgweRnJxse7xy5UrMnTsXxcXFjd7fiRMn0LFjR6xfvx4jR46sc5marVFWqxVFRUUIDw+HJEm1ltfr9YiPj0d2djY0Gk2jY6JL+F66Ts33cuHChViyZEmD6zDXfAffS9e53HsphEBJSQni4uKgUMjmGnMir+bRlt958+ZhxowZDS6TlJTksv0lJSUhIiICx44dq/cLWa1W17pQx5kr3jUaDb9EXITvpetUv5ePPfYY7r333gaXZa75Hr6XrtPQe8kWX6LWxaPFb2RkJCIjI1tsf2fOnMH58+cRGxvbYvskag2Ya0RERFVkcw4mKysLmZmZyMrKgsViQWZmJjIzM1FaWmpbJjk5GWvWrAEAlJaW4h//+Ad+++03nDp1Chs2bMANN9yATp06YfTo0Z56GUStHnONiIi8mWwueFuwYAHee+892+M+ffoAADZu3Ijhw4cDAA4fPmy7YlypVGLv3r147733UFxcjLi4OFx33XV46qmnXDr+qFqtxsKFCzmmqQvwvXSd5ryXzDXvx/fSdfheEsmPRy94IyIiIiJqSbLp9kBERERE1FwsfomIiIjIZ7D4JSIiIiKfweKXiIiIiHwGi99mWrp0KRITExEQEIC0tDTs2LHD0yHJzqJFiyBJksNkf6cxqt/mzZsxfvx4xMXFQZIkfPHFFw7PCyGwYMECxMbGIjAwEKNGjcLRo0c9E2wzMdeaj7nWdL6Ua0TejsVvM6xevRrp6elYuHAhdu/ejdTUVIwePRoFBQWeDk12evTogdzcXNu0ZcsWT4ckC2VlZUhNTcXSpUvrfP6FF17Aa6+9hmXLlmH79u0IDg7G6NGjUVlZ2cKRNg9zzXWYa03jK7lG5BMENdnAgQPFrFmzbI8tFouIi4sTGRkZHoxKfhYuXChSU1M9HYbsARBr1qyxPbZarSImJka8+OKLtnnFxcVCrVaLDz/80AMRNh1zzTWYa67hzblG5AvY8ttERqMRu3btwqhRo2zzFAoFRo0ahW3btnkwMnk6evQo4uLikJSUhNtuuw1ZWVmeDkn2Tp48iby8PIdjVKvVIi0tTVbHKHPNtZhrructuUbkK1j8NtG5c+dgsVgQHR3tMD86Ohp5eXkeikqe0tLSsHLlSqxduxZvvfUWTp48iauuugolJSWeDk3Wqo9DuR+jzDXXYa65h7fkGpGvkM3tjcl7jR071vZ3r169kJaWhvbt2+Pjjz/GnXfe6cHIiLwLc42IiC2/TRYREQGlUon8/HyH+fn5+YiJifFQVN4hNDQUXbp0wbFjxzwdiqxVH4dyP0aZa+7DXHMNb8k1Il/B4reJ/P390a9fP2zYsME2z2q1YsOGDRg8eLAHI5O/0tJSHD9+HLGxsZ4ORdY6dOiAmJgYh2NUr9dj+/btsjpGmWvuw1xzDW/JNSJfwW4PzZCeno7p06ejf//+GDhwIJYsWYKysjLMnDnT06HJykMPPYTx48ejffv2OHv2LBYuXAilUolbbrnF06G1eqWlpQ6tdidPnkRmZibCwsKQkJCAuXPn4umnn0bnzp3RoUMHPPHEE4iLi8ONN97ouaCbgLnmGsy1pvOVXCPyCZ4ebkLuXn/9dZGQkCD8/f3FwIEDxW+//ebpkGRn8uTJIjY2Vvj7+4t27dqJyZMni2PHjnk6LFnYuHGjAFBrmj59uhCiagimJ554QkRHRwu1Wi1GjhwpDh8+7Nmgm4i51nzMtabzpVwj8naSEEJ4qvAmIiIiImpJ7PNLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHPYPFLRERERD6DxS8RERER+QwWv0RERETkM1j8EhEREZHP+H8rXGWPPMvctAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ymax = 1.5\n",
    "for dut, lbl in duts:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    for n in range(5):\n",
    "        plt.subplot(230 + n+1)\n",
    "        plt.plot(dut.times*1e9, dut.pulse_resps[n+1]*1e3)\n",
    "        plt.title(f\"{lbl} - $p^{{({n+1})}}$\")\n",
    "        if n == 2:\n",
    "            plt.xlabel(\"Time (ns)\")\n",
    "        if n == 0:\n",
    "            plt.ylabel(\"p(t) (mV)\")\n",
    "        plt.axis(ymin=-ymax, ymax=ymax)\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd44a345-ad4a-4d3f-be4a-ad25fdbf068b",
   "metadata": {},
   "source": [
    "**Question for Bob:** Do you have, or can you generate, similar plots, for comparison?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "88cb81c5-3033-4c1e-b057-6751f07f4236",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-26T11:49:27.260966Z",
     "iopub.status.busy": "2024-10-26T11:49:27.260400Z",
     "iopub.status.idle": "2024-10-26T11:49:27.782962Z",
     "shell.execute_reply": "2024-10-26T11:49:27.781920Z",
     "shell.execute_reply.started": "2024-10-26T11:49:27.260941Z"
    }
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '../PyBERT/misc/VITA_68p3/V68d3_COM_channel_files_for_David/FEXT1_s.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[30], line 9\u001b[0m\n\u001b[0;32m      1\u001b[0m dname \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../PyBERT/misc/VITA_68p3/V68d3_COM_channel_files_for_David/\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m fname \u001b[38;5;129;01min\u001b[39;00m [\n\u001b[0;32m      3\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFEXT1_s.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m      4\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFEXT2_s.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNEXT3_s.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m      8\u001b[0m ]:\n\u001b[1;32m----> 9\u001b[0m     t, vs \u001b[38;5;241m=\u001b[39m \u001b[43mimport_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdname\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mfname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     10\u001b[0m     plt\u001b[38;5;241m.\u001b[39mplot(t, vs[\u001b[38;5;241m0\u001b[39m])\n",
      "Cell \u001b[1;32mIn[2], line 165\u001b[0m, in \u001b[0;36mimport_csv\u001b[1;34m(fname)\u001b[0m\n\u001b[0;32m    163\u001b[0m labels \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m    164\u001b[0m time \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m--> 165\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m    166\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m n, line \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(f):\n\u001b[0;32m    167\u001b[0m         toks \u001b[38;5;241m=\u001b[39m line\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[1;32m~\\.venv\\pychopmarg-py313\\Lib\\site-packages\\IPython\\core\\interactiveshell.py:324\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m    317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m    318\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    319\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    320\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    321\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    322\u001b[0m     )\n\u001b[1;32m--> 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../PyBERT/misc/VITA_68p3/V68d3_COM_channel_files_for_David/FEXT1_s.csv'"
     ]
    }
   ],
   "source": [
    "dname = \"../PyBERT/misc/VITA_68p3/V68d3_COM_channel_files_for_David/\"\n",
    "for fname in [\n",
    "    \"FEXT1_s.csv\",\n",
    "    \"FEXT2_s.csv\",\n",
    "    \"NEXT1_s.csv\",\n",
    "    \"NEXT2_s.csv\",\n",
    "    \"NEXT3_s.csv\",\n",
    "]:\n",
    "    t, vs = import_csv(dname + fname)\n",
    "    plt.plot(t, vs[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6bcdbc57-9e03-43aa-a1d4-e482756f5d1e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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